Occupancy of tourist accommodation establishments (tour_occ)

National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: Statistical Office of the Slovak Republic


Eurostat metadata
Reference metadata
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
14. Timeliness and punctuality
15. Coherence and comparability
16. Cost and Burden
17. Data revision
18. Statistical processing
19. Comment
Related Metadata
Annexes (including footnotes)
 



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1. Contact Top
1.1. Contact organisation

Statistical Office of the Slovak Republic

1.2. Contact organisation unit

Business Statistics Section

Methodology and Synthesis of Business Statistics Department

1.5. Contact mail address

Lamacska cesta 3/C, 840 05 Bratislava 45, Slovakia


2. Metadata update Top
2.1. Metadata last certified 29/09/2023
2.2. Metadata last posted 29/09/2023
2.3. Metadata last update 29/09/2023


3. Statistical presentation Top
3.1. Data description
The purpose of the monthly survey on accommodation statistics is to provide information about the supply side of tourism in accordance with the methodological definitions set in Regulation (EU) 2019/1681 of 1 August 2019 amending Regulation (EU) No 692/2011 of the European Parliament and of the Council concerning European statistics on tourism. In the statistical  questionnaire "Monthly questionnaire on the activities of the accommodation establishments CR 1-12" are surveyed information about the capacity and performance of the accommodation establishment. 

Capacity: This covers total capacity of accommodation establishments in Slovakia. It includes number of establishments, number of bedrooms, bed places.

Occupancy: This covers actual usage of bedrooms and bed places available; it means number of tourists and number of nights spent at tourist accommodation establishments and occupancy rates of bed places and of bedrooms.

3.2. Classification system

For data from the reference year 2012 onwards (under Regulation (EU) 692/2011), 'tourist accommodation establishments' are described according to the NACE Rev. 2 classification (groups 55.1, 55.2 and 55.3).

The Regulation also introduces two new breakdowns in accommodation statistics at the regional level, namely the degree of urbanisation (thinly populated area, intermediate density area, densely populated area) and the coastal or non-coastal character of the locality where the establishments are located.

There is a national classification of acc. establishments: hotels *-*****, mountain hotels *-***, congress hotels ***-*****, wellness hotels ***-*****, spa hotels ***-*****, boutique hotels ****-*****, guesthouses, boatels, motels, hostels, camping sites, accommodation in private, others.

 

Regional data

The territorial classification of regional data is broken down according to the NUTS classification.

3.3. Coverage - sector

NACE Rev.2 - 55.1, 55.2 and 55.3

3.4. Statistical concepts and definitions
3.4.1 Statistical concepts and definitions

See Regulation 692/2011Delegated Regulation (EU) 2019/1681 and Methodological Manual for Tourism Statistics

3.4.2 Additional comments (if deviations from the Regulation)
3.5. Statistical unit

Local kind-of-activity unit (accommodation establishment) offering short-stay accommodation to tourists.

3.6. Statistical population
3.6.1 Statistical population 

All local kind-of-activity unit (accommodation establishment) offering short-stay accommodation as a paid service (although the price might be partially or fully subsidised) to tourists as defined in NACE 55.1, 55.2 and 55.3

3.6.2 Additional comments

Hotels and similar accommodation (NACE 55.1): This includes all hotels, motels, boatels, guesthouses.

Holiday and other short-stay accommodation (NACE 55.2): This includes hostels, holiday dwellings, apartment houses and others.

Camping grounds, etc. (NACE 55.3): This includes camping sites.

3.7. Reference area
3.7.1 Reference area 
3.7.2 Regional coverage / granularity (e.g. lowest level of regional detail available)  

LAU 2

3.8. Coverage - Time

Coverage - Time [data comparable since (YYYY)]

3.8.1 Hotels and similar accommodation (NACE 55.1) (Year)

2012

3.8.2 Holiday and other short-stay accommodation (NACE 55.2) (Year)

2012

3.8.3 Camping grounds, etc. (NACE 55.3) (Year)

2012

3.8.4 Additional comments (e.g. if different for CAP or OCC; older series for some vars; incoherence across regions; etc.)

Data according to Regulation 692/2011 is available from 2012 onwards. Data according to Directive 95/57 is available from 2000  up to 2011. Regional data is available from 2000 onwards.

3.9. Base period

Not applicable.


4. Unit of measure Top

Data values are expressed in numbers, occupancy rates in percentages.


5. Reference Period Top
5.1 Capacity 

december 2022

5.2 Occupancy 

Annual = 2022

Monthly = August 2022 (peak month)


6. Institutional Mandate Top
6.1. Institutional Mandate - legal acts and other agreements
6.2. Institutional Mandate - data sharing

Not applicable.


7. Confidentiality Top
7.1. Confidentiality - policy

The Statistical Office of the Slovak Republic is responsible for the protection of confidential data obtained and guarantees their use exclusively for statistical purposes. In accordance with the Act on State Statistics No. 540/2001 Coll. §2g and §30, the SOSR may not publish confidential statistical data, but only information resulting from the aggregation of confidential statistical data, which does not allow direct or indirect identification of the reporting unit.

The Statistical Office of the Slovak Republic has introduced principles and procedures for the protection of confidential data in internal directives and instructions. The directive on the protection of confidential statistical data regulates the method of management and implementation of activities related to ensuring the protection of confidential statistical data in the Statistical Office of the Slovak Republic. The internal methodological instruction of the Statistical Office of the Slovak Republic regulates specific methods and parameter values ​​used in the protection of confidential statistical data of individual statistical surveys and data sets.

7.2. Confidentiality - data treatment

Specifics of confidential data protection in statistics of tourism accommodation establishments

The published DATAcube -s provide a wide range of information on the activities of accommodation establishments. Due to the high level of data detail, the confidentiality rules must be addressed. The main difficulty in data publication occurs on the level of municipalities - in more than 60% of municipalities in the Slovak Republic there is no accommodation establishment (based on the Register of Accommodation Establishments of the SOSR), while in most of the remaining there are a maximum of two accommodation establishments. Other critical points are the interconnection of DATAcube -s and their hierarchical structure - a large number of values are found in several DATAcube -s and on several levels. The DATAcube -s compiled in this way bring value added to the users in the form of detailed multi-level information, but on the other hand they increase the demands on confidentiality.

SOSR ensures the statistical data confidentiality in DATAcube -s for the statistics of accommodation establishments in two stages:

  • Primary confidentiality rule - values that do not meet the criteria of data confidentiality are marked as confidential:
    • minimum frequency rule - the published value must be the sum of the values of at least three reporting units
    • the p% rule - the published value cannot allow to estimate the value of the reporting unit
  • Secondary confidentiality rule – some values that meet the criteria of data confidentiality will be marked as confidential, due to the possibility to calculate the values of confidential data in step 1 by means of totals and subtotals.

The process of primary confidentiality rule concerns the level of municipalities in particular (in a significant extent also the level of districts). However, due to the multi-level interconnection and complexity of the DATAcube. system, the secondary confidential rule is subsequently applied to the other DATAcube -s; this effect among others also affects occupancy data of accommodation establishments in districts of the SR by visitor’s country of origin. Since the individual countries are only sparsely represented in this DATAcube., the process of selecting a suitable secondary confidentiality marked cell is complicated, which causes a higher degree of the total confidentiality marked values in result. It is also possible to observe a situation in the data where the total number of foreign visitors is confidential in the district, but not by visitor´s country of residence. It occurs precisely because of multi-level secondary protection - in the DATAcube. at the municipal level, due to the rare foreign occupancy in individual municipalities of the district, the number of foreign visitors for the whole district is secondary confidential, and this confidential data are subsequently transferred to the DATAcube. of occupancy of accommodation establishment on the level of district and country of origin. In this DATAcube., it is necessary to apply the secondary confidentiality rule of the value for a selected country of origin to ensure transferred confidentiality and thus it is not necessary to apply confidentiality rules to the values for all countries; this only happens in a situation where the total value for the district is confidential.

The time aspect of data confidentiality is also important. Since the cumulative value for a given period is the sum of the values for individual months, the calculation of confidential data could be possible in this regard, and therefore the cumulant for the period containing among others also confidential values have to be marked as confidential. When choosing a suitable secondary confidentiality rule in a given month, SOSR takes into account the time aspect so that the largest possible volume of cumulative data is published.

As for the process of creating the design of DATAcube -s for the statistics of accommodation establishments, several alternatives were tested. The one that maximizes the volume of provided data and minimizes the volume of overall confidentiality was chosen.


8. Release policy Top
8.1. Release calendar

First Release Calendar provides the precise release dates for the coming four months in advance. The calendar is updated monthly. It covers main economic and social indicators established currently within the EU regulations and IMF special standard, which define timeliness standards as well.

In the First Release Calendar compilation release dates defined by Eurostat are taken into consideration.

Information reports Cataloque

First release calendar

8.2. Release calendar access

First Release Calendar is publicly accessible. It is disseminated on the office's website. Users are also informed about the availability of the release calendar in a notice published in the relevant activity's publication. 

Release calendar

8.3. Release policy - user access

The First release Calendar contains timetable of the first release of selected indicators. Data will be published in the given day at 9 o´clock on the Internet website of the SOSR (www.statistics.sk) in the part Information reports Catalogue of the SOSR and there will be also at the disposal at the spokesperson of the SOSR (phone number: +421 2 5023 6553). You will also find notice for amendments of dates on the Internet website of the SOSR.


9. Frequency of dissemination Top

(1) Data are transmitted to Eurostat monthly and yearly.
(2) Data are disseminated monthly, quarterly and annually to national users.


10. Accessibility and clarity Top
10.1. Dissemination format - News release

News releases on occupancy data are disseminated monthly, capacity data are disseminated quarterly.

10.2. Dissemination format - Publications

Released monthly in electronic informative report: Development of tourism in accommodation establishments in the SR. The main purpose of the informative report is to supply the users with brief information on tourism development in Accommodation Establishments in the SR.

Informative report on tourism statistics

10.3. Dissemination format - online database

Database DATAcube : Capacity and occupancy of the accommodation establishments

 

10.4. Dissemination format - microdata access

Not available.

10.5. Dissemination format - other

Capacity:

  • Congress tourism in Slovakia - by regions
  • Capacity to organize congress tourism events (in terms of number of persons)


Occupancy:

  • Congress tourism in Slovakia - by regions
  • Number of participants in congress tourism events
  • Number of congress tourism events by size (in terms of number of participants)
  • Number of congress tourism events by duration of event (in days)
10.6. Documentation on methodology

Each publication contains an introduction concerning methodological notes and contact for the information service. On the website of the SOSR there is available:

— information on tourism in Methodological notes

— statistical questionnaires forms in national version including methodological notes;

— methodological sheets (descriptions of statistical indicators in detail) in national version.

10.7. Quality management - documentation

Following internal project documentation exists for the compilation of statistical outputs:

• methodological guidelines for applying mathematical-statistical methods for statistical surveys

• methodological guidelines for quality indicators of statistical outputs and statistical processes.


11. Quality management Top
11.1. Quality assurance

The Quality policy is defined and publicly accessible in the Quality Declaration and Quality Policy documents. The Quality Declaration expresses the basic ideas and commitments of the President and top management of the SOSR for the Quality Policy as well as increasing efficiency and effectiveness of the integrated management system of the SOSR.

Quality Declaration

Quality policy is based on the mission of the Statistical Office of the Slovak Republic: to provide high quality and objective statistical products and services by keeping confidentiality of statistical data and by minimising burden on interested parties using effectively existing resources with the aim to support improvement of the information and intellectual capital of our customers. In this way we want to contribute to reduce risks and improve effectiveness in their decision making processes and so to support the sustainable development of the Slovak Republic as the part of EU.

Quality policy

The Quality manual describes the documented procedures of the quality system that are used for implementation and continuous improvement of the quality management system in SOSR. It contains a description of the quality management system and the fulfillment of requirements ISO 9001 standards. Application of the manual in practice ensures that all activities that have an impact on the quality of the products created are planned, managed, reviewed, evaluated and meet requirements.

Quality manual

The European Statistics Code of Practice is the basis of the common quality framework of the European Statistical System. It is a self-regulatory tool and it is based on 16 Principles covering the institutional environment, statistical processes and statistical outputs. A set of indicators of best practices and standards for each of the Principles provides guidelines and benchmarks for reviewing the implementation of the Code of Practice, thus increasing transparency within the European Statistical System.

European Statistics Code of Practise

11.2. Quality management - assessment
11.2.1 Main strengths

At present the quality assessment is realized on the base of protocols from the processes performed in regional offices containing the basic information on eligible and non-eligible units, on reasons of non-response, on types of statistical checks. Census type of accommodation establishment survey and Statistical register RUBZAR are the basic premises for the high quality data. Some small errors may occur in the area of coverage.

11.2.2 Main weaknesses

not aplicable

11.2.3 Quality improvements compared with previous reference year

The quality reports will be integrated into the new integrated stat. information system - ISIS (which is being implemented at present) and into the updated internal directives on value-adding processes. Self-assessments of stat. surveys and methodological audits (in preparation), incl. analysis and reporting of the results are being integrated into the existing QMS system.


12. Relevance Top
12.1. Relevance - User Needs
12.1.1 European level

See: Regulation 692/2011 and Delegated Regulation (EU) 2019/1681

12.1.2 Main users on a national level

See: Act No 540/2001 Coll. on State Statistics

Consultations with users are required by statistical act stressing the cooperation with other organisations (ministries and other state organisations) during preparation of the Programme of State Statistical Surveys.

An advisory body of the Statistical Council consists of members representing main users (representatives of ministries, state organisation and public institutions).

The Council is the permanent expert advisory body for the President of the SOSR in the field of state statistics. The task of the Council is to draft /submit proposals and recommendations regarding state statistics concepts, to discuss the Programme of the state statistical surveys and other tasks according to the Status on the Statistical Council.

In practice the consultations with users run on bilateral bases as well as within activities covered by the action programme Activities focusing on learning about expectation of key users and on supporting better interpretation and better use of statistical products. In case of tourism statistics SO SR has really close and fruitful communication with the Ministry of transport, construction and regional development responsible for the area of tourism as well as with National Bank of Slovakia and Tourism agency.

In general, tourism data currently produced, satisfy national user needs. Main users are government, ministries, National Bank, media, students.

12.2. Relevance - User Satisfaction

User satisfaction is monitored via “Survey on satisfaction of users with products and services of the SO SR” conducted regularly with two-year periodicity. Evaluation of the user satisfaction survey also includes satisfactions rate (overall and for specified areas as well as for groups of products) and it is submitted together with conclusions and suggestions for improvements to top management meeting for approval.

12.3. Completeness

12.3.1 Completeness

12.3.1.1 Completeness

Compliant with the requirements of Regulation on tourism statistics 692/2011 and Delegated Regulation (EU) 2019/1681 as well as recommendations laid down in the Methodological Manual for tourism statistics.

12.3.1.2 If not complete, please specify why and list deviations from Reg.


12.3.2 Thresholds used ("limitation of the scope")

12.3.2.1 Hotels and similar accommodation (NACE 55.1)

no threshold

12.3.2.2 Holiday and other short-stay accommodation (NACE 55.2)

no threshold

12.3.2.3 Camping grounds, etc. (NACE 55.3)

no threshold


13. Accuracy Top
13.1. Accuracy - overall

Monthly survey in accommodation establishments is exhaustive survey (a census type), therefore the sampling errors are not relevant.

High level of accuracy as a result of a legal obligation on all accommodation establishments to report monthly.

The main sources of error are:

Missing answers -> Data is then imputed from the same month of the previous year.

Non-response errors -> The overall unit non-response was 17,3%.

Non-sampling errors -> Based on the  approach described in point 12.2 we consider the degree of over and under-coverage insignificant.

13.2. Sampling error

13.2.1 Sampling errors - indicators (Occupancy only)

Information on Sampling errors may also be provided in the attached file.  Estimated value  CV 
13.2.1.1 Annual number of arrivals (res + non-res.)

4 831 628

Not applicable.

13.2.1.2 Annual number of nights spent (res + non-res.)

12 719 545

 

Not applicable.

13.2.1.3 Annual number of nights spent (residents)

8 955 662

Not applicable.

13.2.1.4 Annual number of nights spent (non-residents)

3 763 883

Not applicable.

13.2.1.5 Annual number of nights spent (res + non-res), NACE 55.1

9 106 169

Not applicable.

13.2.1.6 Annual number of nights spent (res + non-res), NACE 55.2

2 946 027

Not applicable.

13.2.1.7 Annual number of nights spent (res + non-res), NACE 55.3

296 613

Not applicable.

13.2.1.8 Monthly number of nights spent (res + non-res) (for the reference month mentioned under 5.2)

1 911 948

Not applicable.


13.2.2 Additional comments on sampling error

Monthly survey in accommodation establishments is exhaustive survey (a census type), therefore the sampling errors are not relevant.

13.3. Non-sampling error
Restricted from publication


14. Timeliness and punctuality Top
14.1. Timeliness
14.1.1 Capacity

44 days after the end of the reference period data are disseminated at national level.

14.1.2 Occupancy (annual data)

44 days after the end of the reference period data are disseminated at national level.

14.1.3 Occupancy (monthly data) (for the reference month mentioned under 5.2)

42 days after the end of the reference period data are disseminated at national level.

14.2. Punctuality
14.2.1 Capacity

2022 annual capacity data have been transmitted to Eurostat 0 days before the deadline.

14.2.2 Occupancy (annual data)

2022 annual capacity data have been transmitted to Eurostat 0 days before the deadline.

14.2.3 Occupancy (monthly data) (for the reference month mentioned under 5.2)

August 2022 monthly data on nights spent (rapid key indicators) have been transmitted to Eurostat 0 day before the deadline.


15. Coherence and comparability Top
15.1. Comparability - geographical

See 3.7

No problems regarding geographical comparability.

15.2. Comparability - over time
15.2.1 Hotels and similar accommodation (NACE 55.1)

See 3.8.1

Data is available in the same structure from 2000.

15.2.2 Holiday and other short-stay accommodation (NACE 55.2)

See 3.8.2

Data is available in the same structure from 2000.

15.2.3 Camping grounds, etc. (NACE 55.3)

See 3.8.3

Data is available in the same structure from 2000.

15.3. Coherence - cross domain

Data can be gained only via accommodation statistics. No other domain is collecting data about accommodation establishments, their capacity and occupancy.

15.4. Coherence - internal

Coherence between annual and monthly data: The annual data equal to the sum of monthly data. Data can be gained only via accommodation statistics.


16. Cost and Burden Top

SOSR regularly monitors the cost and burden of reporting units. The cost and burden measurement at the level of European Statistical Products is in competence of the Resources Directors Group within Eurostat.


17. Data revision Top
17.1. Data revision - policy
17.1.1 Capacity 

The Revision policy regulates the general rules and procedures applied in revisions at the SOSR. The same revision policy applies to national and international users. In accordance with the Revision policy, the reason of the revision is always indicated.

The Revisions policy as well as the Revisions calendar is available to users on the web portal of the SOSR.

Policy and calendar of revisions of the SOSR

SOSR distinguishes the following revisions:

from the content point of view

-incorporation of better quality data based on a more complete source, including replacing imputations with collected data,

-correction of data as a result of updating seasonal factors and changing the base period,

- data modification based on more accurate methodology (in concepts, definitions and classifications) and changes in statistical methods,

- performing corrections in source data and calculations.

In terms of time, SOSR divides the revisions into

- ordinary revisions are revisions without significant modifications of the methodologies. These are usually more significant data corrections, including large values ​​obtained from new sources. They are carried out periodically on precisely set up dates, to update monthly and quarterly data, until the next publication of the data.

-annual revisions are revisions that are made when all monthly and quarterly data are available and more detailed results from annual surveys are already available.

- extraordinary and major revisions are revisions of definitive data due to significant methodological changes resulting from revision of methodologies, changes in procedures and statistical-mathematical calculation methods or data corrections. An extraordinary revision may result (e.g. by changing the definition) in break in time series data comparability.

17.1.2 Occupancy 

The Revision policy regulates the general rules and procedures applied in revisions at the SOSR. The same revision policy applies to national and international users. In accordance with the Revision policy, the reason of the revision is always indicated.

The Revisions policy as well as the Revisions calendar is available to users on the web portal of the SOSR.

Policy and calendar of revisions of the SOSR

SOSR distinguishes the following revisions:

from the content point of view

-incorporation of better quality data based on a more complete source, including replacing imputations with collected data,

-correction of data as a result of updating seasonal factors and changing the base period,

- data modification based on more accurate methodology (in concepts, definitions and classifications) and changes in statistical methods,

- performing corrections in source data and calculations.

In terms of time, SOSR divides the revisions into

- ordinary revisions are revisions without significant modifications of the methodologies. These are usually more significant data corrections, including large values ​​obtained from new sources. They are carried out periodically on precisely set up dates, to update monthly and quarterly data, until the next publication of the data.

-annual revisions are revisions that are made when all monthly and quarterly data are available and more detailed results from annual surveys are already available.

- extraordinary and major revisions are revisions of definitive data due to significant methodological changes resulting from revision of methodologies, changes in procedures and statistical-mathematical calculation methods or data corrections. An extraordinary revision may result (e.g. by changing the definition) in break in time series data comparability.

17.2. Data revision - practice
17.2.1 Capacity 

 Only final data are published. Data will be revised only when errors occur.

17.2.2 Occupancy 

Only final data are published. Data will be revised only when errors occur.


18. Statistical processing Top
18.1. Source data

18.1.1 Source data

18.1.1.1 Source data Census
18.1.1.2 Name of data collection in national language

Mesačný výkaz o činnosti ubytovacieho zariadenia

18.1.1.3 Name of data collection in English

Monthly questionnaire on activity of accommodation establishment.

18.1.1.4 Additional comments, if any (e.g. differences per NACE class, use of statistical estimation techniques)


18.1.2 Population frame

18.1.2.1 Population frame 
18.1.2.1.1 Capacity Administrative register maintained outside the statistical office
18.1.2.1.2 Occupancy  Administrative register maintained outside the statistical office
18.1.2.2 Update of population frame 
18.1.2.2.1 Capacity  Continuously (e.g. daily or weekly automated delivery)
18.1.2.2.2 Occupancy  Continuously (e.g. daily or weekly automated delivery)
18.1.2.3 Other or additional comments 

Register of accommodation establishments (RUBZAR) is managed by Specialized Regional Office of the SOSR in Presov which is responsible for tourism statistics surveys

In an annual periodicity basic update of RUBZAR on the base of special one-time survey. Some characteristics e.g. main activity code, status of activity are continuously updated from all accessible sources.

18.1.2.4 Coverage errors of population frame 
18.1.2.4.1 Capacity 

Regarding the annual periodicity basic update of RUBZAR and continuous update of some characteristics we consider the coverage errors as insignificant.

18.1.2.4.2 Occupancy 

Regarding the annual periodicity basic update of RUBZAR and continuous update of some characteristics we consider the coverage errors as insignificant.


18.1.3 Sampling design

Census survey


18.1.4 Other or additional comments on source data, population frame or sampling design (e.g. differences per NACE class)

18.2. Frequency of data collection
18.2.1 Capacity Monthly
18.2.2 Occupancy  Monthly
18.2.3 If other frequency or additional comments (e.g. differences per NACE class), please specify
18.3. Data collection

18.3.1 Type of survey

18.3.1.1 Capacity Business survey collected by the NSI
18.3.1.2 Occupancy Business survey collected by the NSI
18.3.1.3 If other type or non-NSI, or additional comments (e.g. differences per NACE class), please specify


18.3.2 Data collection methods

18.3.2.1 Capacity Paper/postal survey (including e-mail)
Electronic/online survey via webform
18.3.2.2 Occupancy Paper/postal survey (including e-mail)
Electronic/online survey via webform
18.3.2.3 If other or additional comments (e.g. differences per NACE class), please specify
18.3.2.4 If a combination of data collection methods is used, please indicate the share of reporting establishments per method (as well as their share in total nights spent)

We use electronic data collection. Most of the data are submitted electronically. Accommodation establishments also have the possibility to use a paper questionnaire and send it via post or email.

18.3.2.5 Questionnaire in national language (Annex/Link)

Monthly questionnaire on activity of accommodation establishment

18.3.2.6 Questionnaire in English (Annex/Link)

Not available.

18.3.2.7 Interviewer instructions in English (Annex/Link)

Not available.

18.4. Data validation
18.4.1 Capacity 

Data is checked and validated regularly. Any missing data, errors or suspiciously different data from other establishments or time period is checked by contacting the establishment directly.

The data entry, data completeness and statistical control are organised by specialised regional offices of the SO SR. 

It has been distinguished between two levels of checking:

1/ formal checks, which are realised in the process of data entry automatically; (compatible with Validation level 0 and 1)

2/ informal checks aim of which is to control the complexity and relations among the variables ((compatible with Validation level from 2 to 5)

According to the importance there are classified 2 basic types of informal checks:

 I –  informative check- this check gives the additional information, which is important for the following process of corrections. It informs also about some inconsistencies in the state of fulfilment of the questionnaire, about item non-response, exceeding stated limits etc. 

Z – check of great importance - it is mostly check indicating the exact error and it must  be always corrected or explained.

Most of the errors are directly consulted with the reporting units by our regional offices.

18.4.2 Occupancy 

Data is checked and validated regularly. Any missing data, errors or suspiciously different data from other establishments or time period is checked by contacting the establishment directly.

The data entry, data completeness and statistical control are organised by specialised regional offices of the SO SR. 

It has been distinguished between two levels of checking:

1/ formal checks, which are realised in the process of data entry automatically; (compatible with Validation level 0 and 1)

2/ informal checks aim of which is to control the complexity and relations among the variables ((compatible with Validation level from 2 to 5)

According to the importance there are classified 2 basic types of informal checks:

 I –  informative check- this check gives the additional information, which is important for the following process of corrections. It informs also about some inconsistencies in the state of fulfilment of the questionnaire, about item non-response, exceeding stated limits etc. 

Z – check of great importance - it is mostly check indicating the exact error and it must  be always corrected or explained.

Most of the errors are directly consulted with the reporting units by our regional offices.

18.5. Data compilation

Comparison with past periods, mathematics methods. Missing data is imputed from the same month of the previous year.

18.6. Adjustment

Not applicable.


19. Comment Top

[Optional]


Related metadata Top


Annexes Top