Occupancy of tourist accommodation establishments (tour_occ)

National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: Statistisches Bundesamt


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

Statistisches Bundesamt
1.2. Contact organisation unit

Unit E 26 – Tourism
1.5. Contact mail address

Gustav-Stresemann-Ring 11, 65189 Wiesbaden


2. Metadata update Top
2.1. Metadata last certified 26/09/2023
2.2. Metadata last posted 26/09/2023
2.3. Metadata last update 26/09/2023


3. Statistical presentation Top
3.1. Data description

The monthly data collected on tourism (tourist accommodation statistics) comprises the number of arrivals and overnight stays and the number of bed places or pitches at tourist accommodation establishments with 10 or more bed places or pitches. Guests’ country of origin is also recorded. Hotels (WZ or NACE 55.1) with 25 or more rooms are also asked to state the occupancy rate. All hotels are also asked for the number of rooms on the reference date, 31 July.
3.2. Classification system

Capacity (Annex I, Section 1)

National classification of economic activities:

At the national level, the groups of respondents for the collection of monthly data on tourism are based on the German classification of economic activities (WZ 2008) https://www.destatis.de/DE/Methoden/Klassifikationen/GueterWirtschaftklassifikationen/Content75/KlassifikationWZ08.html

This includes the following economic activities:

  • 55.1: Hotel industry (hotels and similar accommodation)
  • 55.2: Holiday and other short-stay accommodation
  • 55.3: Camping grounds, recreational vehicle parks and trailer parks
  • 86.10: Prevention and rehabilitation centres
  • 85.53 or 85.59: Training centres

Every accomodation establishment is registered in the national business register and linked to the classification mentioned above.

On a European level, the Statistical classification of economic activities in the European Community (NACE Rev. 2) is used for this group of respondents. This accords with WZ 2008 so far as subject matter is concerned despite slightly different descriptions. Overnight stays in prevention and rehabilitation centres and training centres are not, however, relevant to statistics about tourism at the European level and are not, therefore, supplied to Eurostat.

 

The regional classification bases on the administration unit register

https://www.destatis.de/DE/ZahlenFakten/LaenderRegionen/Regionales/Gemeindeverzeichnis/Gemeindeverzeichnis.html

 

Additional classification systems are described in the following:
National classification of municipality groups: grouping of municipalities or parts of municipalities according to their official designation (e.g. mineral or mud bath, seaside resort or climatic spa) prescribed by federal state regulations.

National classification of travel areas: regions defined by regional tourist associations in collaboration with regional statistical offices. These are based on neighbouring municipalities clubbing together on the basis of their attractiveness to tourists and natural features to form a single geographical area.
3.3. Coverage - sector

NACE Rev.2 - 55.1, 55.2 and 55.3

Hotel accommodation “Section I Hotels and Restaurants, Item 55 Accommodation” according to WZ 2008
3.4. Statistical concepts and definitions
3.4.1 Statistical concepts and definitions

See Regulation 692/2011 and Methodological Manual for Tourism Statistics
3.4.2 Additional comments (if deviations from the Regulation)

The concepts and definitions used in the monthly collection of data on tourism conform as far as possible to the European Union specifications described in the Methodological manual for tourism statistics. In addition the following concepts and definitions are used at national level:

  • Classification ‘Municipality groups’: grouping of municipalities or parts of municipalities according to their official designation (e.g. mineral or mud bath, seaside resort or climatic spa) prescribed by federal state regulations. This designation is also referred to as their grading (Prädikat). Municipalities without a grading are listed under the heading ‘Other municipalities’.
  • Classification ‘Travel areas’: Regions defined by regional tourist associations in collaboration with regional statistical offices. These are based on neighbouring municipalities clubbing together on the basis of their attractiveness to tourists and natural features to form a single geographical area.
  • Economic activity: ‘Training centres’: residential centres which offer training outside the mainstream school and higher education system and have accommodation facilities.
  • Economic activity ‘Prevention and rehabilitation clinics’: accommodation centres under the direction of a medical practitioner which are aimed exclusively or predominantly at health spa patients. These clinics also include rehabilitation centres for children, sanatoria, convalescent and similar hospitals. Guests staying overnight in these clinics are only included in the monthly data for tourism if they are able to leave the clinic during their stay to use the tourist attractions on offer in these municipalities.
  • The winter and summer tourist seasons: the summer season statistics relate to the period from May to October, whilst the winter season covers the months of November to April.
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 units (accommodation establishments) 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 29,260 units in July (peak month).

Holiday and other short-stay accommodation (NACE 55.2): This includes 14,426 units in July (peak month).

Camping grounds, etc. (NACE 55.3): This includes 3,062 units in July (peak month).
3.7. Reference area
3.7.1 Reference area 

In line with Regulation.
3.7.2 Regional coverage / granularity (e.g. lowest level of regional detail available)  

Federal territory (NUTS 0), federal states (NUTS 1), districts (NUTS 2), rural and urban districts (NUTS 3) and municipalities (LAU-2) and tourist travel areas and regions which are classified by reference to their distance from the sea and the degree of urbanisation. Classification by reference to cells with a width of at least 100 metres, respecting the confidentiality of the data, is also possible (see http://tourismusatlas.statistikportal.de/). 
3.8. Coverage - Time

Coverage - Time [data comparable since (YYYY)]

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

Monthly and annual figures since 1992.
3.8.2 Holiday and other short-stay accommodation (NACE 55.2) (Year)

Monthly and annual figures since 1992.
3.8.3 Camping grounds, etc. (NACE 55.3) (Year)

Monthly and annual figures since 1992.
3.8.4 Additional comments (e.g. if different for CAP or OCC; older series for some vars; incoherence across regions; etc.)
3.9. Base period

Not applicable.


4. Unit of measure Top

The unit of measure for the numerical data is always given in the publications.


5. Reference Period Top
5.1 Capacity 

Annual = 2022
5.2 Occupancy 

Annual = 2022

Monthly = July 2022 (peak month)


6. Institutional Mandate Top
6.1. Institutional Mandate - legal acts and other agreements
6.1.1 European level

Regulation 692/2011, lastly updated by Delegated Regulation 2020/1569 https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A02011R0692-20200101 

Regulation 1051/2011, lastly updated by Regulation 81/2013 https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A02011R1051-20210808
6.1.2 National level

Gesetz zur Neuordnung der Statistik über die Beherbergung im Reiseverkehr (Beherbergungsstatistikgesetz - BeherbStatG) vom 22. Mai 2002

http://www.gesetze-im-internet.de/beherbstatg_2003/index.html, lastly updated by Article 11 of the law
6.2. Institutional Mandate - data sharing

Not applicable.


7. Confidentiality Top
7.1. Confidentiality - policy

Individual data is kept confidential under Section 16 of the Federal Statistics Act. The names and addresses of the respondents will not be disclosed to third parties under any circumstances. Aggregated data will be disclosed and published only if it is not possible to de-anonymise them.
7.2. Confidentiality - data treatment

The confidentiality of data is ensured by the p% method and manual secondary confidentiality. See also "Recommendations on the treatment of statistical confidentiality in tabulated business data in Eurostat".

Classical cell locking methods are used in tables to protect primary and secondary confidentiality in published results (see the Chapter “methods papers/ documentation of methods”).


8. Release policy Top
8.1. Release calendar

Capacity (Annex I, Section 1)

Like occupancy with the exception of press releases

 

Occupancy (Annex I, Section 2)

Federal Statistical Office announces on its website the release dates of press publications of the following week every Friday at 10:00 a.m. (CEST). More information on the subject the individual press releases deal with may be provided in the course of the week. Publications are generally released at 8:00 a.m. (CEST). Annual release calendar of the Federal Statistical Office is publicly available only for major economic indicators.

Preliminary results for occupancy data are published 5 weeks after the end of the reference month or calendar year and final results after about 7 weeks.
8.2. Release calendar access

Capacity (Annex I, Section 1)

Not available

 

Occupancy (Annex I, Section 2)

A list of press publications to be released in the current week can be found at

https://www.destatis.de/DE/Presse/Termine/Veroeffentlichungstabelle/_inhalt.html

For occupancy data only press releases on preliminary results are available.
8.3. Release policy - user access

Capacity (Annex I, Section 1)

Like occupancy with the exception of press releases

 

Occupancy (Annex I, Section 2)

Users can obtain information about updates to the ‘Genesis Online’ database automatically by means of an RSS feed. A preview of press releases is available. There is no notification function for updated data in the download area or on the website. There is no active notification of users, for example by means of a mailing list.


9. Frequency of dissemination Top

Monthly and yearly.


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

Capacity (Annex I, Section 1)

Not available

 

Occupancy (Annex I, Section 2)

Press releases (provisional results) are available at

https://www.destatis.de/SiteGlobals/Forms/Suche/Presse/DE/Pressesuche_Formular.html?cl2Taxonomies_Themen_0=gastgewerbe_tourismus (only German)
10.2. Dissemination format - Publications

Tables, charts and regular publications on tourism statistics are available at https://www.destatis.de/DE/Themen/Branchen-Unternehmen/Gastgewerbe-Tourismus/_inhalt.html.
10.3. Dissemination format - online database

Selected monthly revised results and annual results are available in the GENESIS-Online database: 

 https://www-genesis.destatis.de/genesis/online?operation=find&suchanweisung_language=en&query=45412#abreadcrumb
10.4. Dissemination format - microdata access

Under Section 16 of the Federal Statistics Act individual data may, by way of exception, be provided to universities and other establishments which undertake academic work if the data is anonymised in such a way that it would take a disproportionate investment of time, cost and labour to attribute it to the respondents or the people affected.
10.5. Dissemination format - other

Not available
10.6. Documentation on methodology

Methods and procedures are described in the national quality report (only in German): https://www.destatis.de/DE/Methoden/Qualitaet/Qualitaetsberichte/Gastgewerbe-Tourismus/tourismus-monatserhebung.pdf?__blob=publicationFile”
10.7. Quality management - documentation

See annex (in German): "Quality report on monthly tourism survey":

https://www.destatis.de/DE/Methoden/Qualitaet/Qualitaetsberichte/Gastgewerbe-Tourismus/tourismus-monatserhebung.pdf?__blob=publicationFile”



Annexes:
Qualitätsbericht 2022


11. Quality management Top
11.1. Quality assurance

The following procedures and measures will be applied for quality assurance purposes:

  • Automated and manual plausibility checks of individual data and aggregated results
  • Feedback of the findings of the review to the offices which took part in preparing the data
  • Imputation of missing answers
  • Monthly review of the results within a calendar year
  • Agreement on quality improvement measures in working groups
11.2. Quality management - assessment
11.2.1 Main strengths

Overall data quality is very good: all the requirements of the Regulation are taken into consideration, data are published relatively rapidly, response rate is under control, data and metadata are easily accessible to users etc. 
11.2.2 Main weaknesses

Some problems occur with changes due to the municipalities and the population frame regarding the breakdown variable "degree of urbanisation"
11.2.3 Quality improvements compared with previous reference year

none


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

See: Regulation 692/2011, lastly updated by Delegated Regulation 2020/1569 https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A02011R0692-20200101 
12.1.2 Main users on a national level

The primary users of the results are the Federal and State Ministries responsible for tourism. They use the figures to make policy decisions relating to tourism and for infrastructure planning. They are also used by local, regional and national tourist organisations, associations and interest groups which use the results for advertising in the field of tourism and for market research. In the educational sector, school pupils and students constitute an important user group. In depth discussion with representatives of the most important user groups (associations, public authorities, institutes) takes place every two years in the specialist ‘Travel and Tourism Statistics’ committee. Ad-hoc questions from individual users are also answered through the divisional information service. In addition the division actively informs the users affected of changes in content and legal changes to the tourism statistics.
12.2. Relevance - User Satisfaction

See chapter 12.1.
12.3. Completeness

12.3.1 Completeness

12.3.1.1 Completeness

Compliant with the requirements of Regulation on tourism statistics 692/2011 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)

Ten or more bed places
12.3.2.2 Holiday and other short-stay accommodation (NACE 55.2)

Ten or more bed places
12.3.2.3 Camping grounds, etc. (NACE 55.3)

Ten or more pitches


13. Accuracy Top
13.1. Accuracy - overall

Because proprietors of all tourist accommodation establishments with 10 or more rooms or pitches have a legal obligation to disclose, there are relatively few missing answers in the full survey. Missing data is imputed and revised as soon as the establishments provide the missing information. This means that the results are very accurate.
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.)

Not applicable

Not applicable
13.2.1.2 Annual number of nights spent (res + non-res.)

Not applicable

Not applicable
13.2.1.3 Annual number of nights spent (residents)

Not applicable

Not applicable
13.2.1.4 Annual number of nights spent (non-residents)

Not applicable

Not applicable
13.2.1.5 Annual number of nights spent (res + non-res), NACE 55.1

Not applicable

Not applicable
13.2.1.6 Annual number of nights spent (res + non-res), NACE 55.2

Not applicable

Not applicable
13.2.1.7 Annual number of nights spent (res + non-res), NACE 55.3

Not applicable

Not applicable
13.2.1.8 Monthly number of nights spent (res + non-res) (for the reference month mentioned under 5.2)

Not applicable

Not applicable


13.2.2 Additional comments on sampling error


Annexes:
13.2 Sampling error
13.3. Non-sampling error

13.3.1 Coverage-errors

13.3.1.1 Over-coverage

Not measured.

Over-coverage errors could occur if our observed units were registered in the activity that we observe but they would be doing some other activity that is not subject of observation. In practice, when we find out that the unit no longer offers accommodation to tourists, we exclude it from observation, so that there is no over-coverage error. These types of errors occur also when data on arrivals and overnight stays include seasonal workers, which according to methodology of survey are not tourists. Over-coverage is in practise unknown and it is not measured at present.
13.3.1.2 Under-coverage

Under-coverage errors occur when certain units are not included in the survey, even though by definition they are establishments which offers tourist bed places. Systematical under-coverage is inevitable because of the 10-bed resp. 10-pitches threshold. There is no robust quantification of this sort of under-coverage yet, but we are working on an estimation by analyzing data from booking platforms.

 


13.3.2 Unit non-response (for the reference month mentioned under 5.2)

Information on Unit non-response may also be provided in the attached file.  NACE 55.1  NACE 55.2  NACE 55.3 
13.3.2.1 Number of ineligible units/ elements

Not measured. Estimations are unreliable.

Not measured. Estimations are unreliable.

Not measured. Estimations are unreliable.
13.3.2.2 Number of eligible units/elements

27,340

13,704

2,876
13.3.2.3 Number of non-contacts

Not measured. Estimations are unreliable.

Not measured. Estimations are unreliable.

Not measured. Estimations are unreliable.
13.3.2.4 Number of refusals

Not measured. Estimations are unreliable.

Not measured. Estimations are unreliable.

Not measured. Estimations are unreliable.
13.3.2.5 Number of rejected questionnaires

No questionnaire is rejected, in case of poor quality we contact unit and ask unit to fulfil the questionnaire once again.

No questionnaire is rejected, in case of poor quality we contact unit and ask unit to fulfil the questionnaire once again.

No questionnaire is rejected, in case of poor quality we contact unit and ask unit to fulfil the questionnaire once again.
13.3.2.6 Number of other types of non-response

Not measured.

Not measured.

Not measured.
13.3.2.7 Total non-response

1,920

722

186
13.3.2.8 Unit non-response rate

6.6%

5.0%

6.1%


13.3.3 Methods used for dealing with/minimising unit-non response

Requests by telephone, reminders with threats of fines

Imputation of data based on previous months and structural information


13.3.4 Item non-response

13.3.4.1 Item non-response 

unknown
13.3.4.2 Methods used for dealing with/minimising item-non-response

Missing items only occur in a few exceptional cases, since data collection is carried out on the basis of legal provisions via the web form. The form contains checks that prevent individual fields from not being filled. Paper questionnaires may be used in a few cases. If items are not filled in, the staff of the statistical offices directly inquire about the reason.


13.3.5 Additional comments on non-sampling error (e.g. in case the reference month is very different from other months in terms of non-response)

The survey does not have a sample component and therefore the data are not subject to sampling variability. However, other inaccuracies as non-sampling errors may affect the data. These non-sampling errors may arise from a number of sources, including: errors in the reporting of data by providers, errors in the process of capturing data, imputation for missing data, definition and classification errors, over/under-coverage. Every effort has been made to reduce non-sampling error to a minimum by careful designing and testing of questionnaires, efficient operating procedures and systems used to compile statistics.

Non-sampling errors may result from the imputation of missing or incomplete information to individual units. Studies have shown that the differences exceed max. 1.2% in some cases. Errors caused by deficiencies in the sampling frame are unlikely because the units are updated monthly from the national business register (URS).


Annexes:
13.3.2 Unit non-response


14. Timeliness and punctuality Top
14.1. Timeliness
14.1.1 Capacity

No publication of provisional findings

Final results are published within 50 days from the end of the reference month or reference year
14.1.2 Occupancy (annual data)

Preliminary results are published 5 weeks after the end of the reference month or calendar year

Final results are published about 7 weeks after the end of the reference month or reference year.
14.1.3 Occupancy (monthly data) (for the reference month mentioned under 5.2)

Provisional findings are published within 40 days from the end of the reference month.

Final results are published within 50 days from the end of the reference month.
14.2. Punctuality
14.2.1 Capacity

2022 annual capacity data have been transmitted to Eurostat before the deadline.
14.2.2 Occupancy (annual data)

2022 annual occupancy data have been transmitted to Eurostat before the deadline.
14.2.3 Occupancy (monthly data) (for the reference month mentioned under 5.2)

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


15. Coherence and comparability Top
15.1. Comparability - geographical

At the NUTS 1 to NUTS 3 levels the results may be easily compared on a geographical basis. Where the categories are based on LAU-2 (location close to the sea, degree of urbanisation) there are likely to be problems of comparability. The reason for this is the frequent boundary changes.
15.2. Comparability - over time
15.2.1 Hotels and similar accommodation (NACE 55.1)

See 3.8.1

  • Until 1981: Restriction of data collection to municipalities where tourism is relevant
  • 1982 to 1992: Results for comparable periods for West Germany without the new federal states.
  • 1992 to 2010: Results for comparable periods for the whole of Germany
  • From 2011: Cut-off level for data collection increased from 9 to 10 bed places and from 3 to 10 pitches. This means that the results are only partially comparable with previous years.
15.2.2 Holiday and other short-stay accommodation (NACE 55.2)

See 3.8.2

  • Until 1981: Restriction of data collection to municipalities where tourism is relevant
  • 1982 to 1992: Results for comparable periods for West Germany without the new federal states.
  • 1992 to 2010: Results for comparable periods for the whole of Germany
  • From 2011: Cut-off level for data collection increased from 9 to 10 bed places and from 3 to 10 pitches. This means that the results are only partially comparable with previous years.
15.2.3 Camping grounds, etc. (NACE 55.3)

See 3.8.3

  • Until 1981: Restriction of data collection to municipalities where tourism is relevant
  • 1982 to 1992: Results for comparable periods for West Germany without the new federal states.
  • 1992 to 2010: Results for comparable periods for the whole of Germany
  • From 2011: Cut-off level for data collection increased from 9 to 10 bed places and from 3 to 10 pitches. This means that the results are only partially comparable with previous years.
15.3. Coherence - cross domain
  • Accommodation statistics: anomalies in the monthly data collected on tourism arise because the turnover figures collected from the accommodation businesses for inclusion in the accommodation statistics cover not only turnover from accommodation services but also turnover from food services and other sources. Also, data for the accommodation statistics is collected at the enterprise level. In addition, there are time-lags between the provision of the service and receipt of payment for it which seriously affect the comparability of monthly results.
  • VAT statistics: all businesses achieving a specified annual turnover are included in the VAT statistics. However, the monthly data for tourism includes all tourist accommodation establishments above a fixed cut-off level relating to bed places or number of pitches, regardless of turnover. Like the accommodation statistics, the data on VAT is also collected at the enterprise level. Consequently, the reference unit for these statistics is not comparable to that used in the monthly data for tourism.
  • Hospital statistics: where the monthly data for tourism is concerned, questions of consistency are relevant only in relation to prevention and rehabilitation clinics. For a number of reasons the comparability of equivalent data in these two sets of statistics is limited. These include the fact that arrivals of people accompanying patients are included in hospital statistics, the increase in private health tourism, which does not involve a doctor's prescription, and presumably also the increasing availability of wellness services in clinics.
15.4. Coherence - internal

Coherence between annual and monthly data:

There are small differences between monthly data and annual data. Reasons are additional revisions of monthly data.

 

Internal coherence in general:

The monthly survey in tourism is internally coherent with regard to federal publications. However, there are differences in content with regard to certain totals provided by the federal government, the federal states and the EU as well as over time:

o Individual federal states publish aggregates on regional levels in the regional database Germany, excluding figures from campsites.

o As regards due to the federal results, the threshold of 10 beds or campsites starting with the reference year 2012 was also adopted for the reference year 2011. This means that changes between the two reference years can be provided without bias. The federal states have not made this adjustment, which means that federal state results for the 2011 reference year are not comparable to the regional database for Germany.

o The EU publications do not contain information on the preventive and rehabilitation clinics and training homes that are only surveyed nationally. This means that a comparison of the internationally harmonized EU results is only possible with federal and states results that are broken down by NACE.

o Another reason for differences between federal and federal states results is the different auditing practice: some federal states have corrected results for the past year even beyond the end of the calendar year. These changes are not included in the states results. However, only time series with results prior to reference year 2018 are affected.


16. Cost and Burden Top

Cost and burden are systematically collected by the division measuring bureaucracy costs (see https://www.destatis.de/EN/Themes/Government/Bureaucracy-Costs/_node.html)

 

 


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

General policy: https://www.destatis.de/DE/Methoden/Qualitaet/allgem-revisionspolitik.pdf?__blob=publicationFile

Revision calendar: https://www.destatis.de/DE/Methoden/Revisionen/Tabellen/revisionskalender-gastgewerbe-tourismus.html
17.1.2 Occupancy 

See 17.1.1
17.2. Data revision - practice
17.2.1 Capacity 

A revision of the results of monthly data collection may be done by replacing imputed missing answers from individual tourist accommodation establishments retrospectively for all months within the current reference year, but not after the end of the year, i.e. the results of the reference month of December are not revised. This is done in order to allow a final result for the reference year to be published early in the following year. In view of the relatively small number of guests a revision of the December results would barely affect the results for the year. At the time the final monthly findings are published about 5.4 % of the missing answers have not yet been revised and therefore have to be replaced by imputed values.

Over the year, the imputation rate is reduced by around half to two thirds due to subsequent incoming data from the accommodation establishments.

 
17.2.2 Occupancy 

A revision of the results of monthly data collection may be done by replacing imputed missing answers from individual tourist accommodation establishments retrospectively for all months within the current reference year, but not after the end of the year, i.e. the results of the reference month of December are not revised. This is done in order to allow a final result for the reference year to be published early in the following year. In view of the relatively small number of guests a revision of the December results would barely affect the results for the year. At the time the final monthly findings are published about 2.9 % of the missing answers have not yet been revised and therefore have to be replaced by imputed values.

Over the year, the imputation rate is reduced by around half to two thirds due to subsequent incoming data from the accommodation establishments.


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

Monatserhebung im Tourismus
18.1.1.3 Name of data collection in English

Not available.
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 Statistical business register
18.1.2.1.2 Occupancy  Statistical business register
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 

The companies register is continually updated and is used for monthly processing in its most up-to-date form.
18.1.2.4 Coverage errors of population frame 
18.1.2.4.1 Capacity 

In some cases very new units are still not included in the business-register. This can cause a small amount of undercoverage.
18.1.2.4.2 Occupancy 

In some cases, small units close to the cut-off level are not collected promptly. This means that a slight undercoverage is possible.


18.1.3 Sampling design

Hotels and similar accommodation (NACE 55.1): Census survey of establishments with ten or more bed places. Data on room occupancy is only collected from establishments with 25 or more rooms.

Holiday and other short-stay accommodation (NACE 55.2): Census survey of establishments with ten or more bed places.

Camping grounds, etc. (NACE 55.3): Census survey of establishments with ten or more pitches.


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

Capacity: The number of rooms is only collected in July in relation to the reference date, 31 July.
18.3. Data collection

18.3.1 Type of survey

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

Written survey by the owner or administrator of the establishment

The data of the individual establishments is collected (survey), checked and aggregated by the regional statistical offices. The survey bases on the national business register. The Federal Statistical Office receives selected, aggregated results from the regional offices but has no access to the individual data.


18.3.2 Data collection methods

18.3.2.1 Capacity Electronic/online survey via webform
Automated extraction and transmission by the establishments from the reservation management system
18.3.2.2 Occupancy Electronic/online survey via webform
Automated extraction and transmission by the establishments from the reservation management system
18.3.2.3 If other or additional comments (e.g. differences per NACE class), please specify
  • The entities currently required to disclose are obtained from the companies register for each reporting month.
  • In cases of hardship it is also possible to submit a completed paper questionnaire. The statistical offices of the Länder are responsible for collection.
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)

unknown
18.3.2.5 Questionnaire in national language (Annex/Link)

Monatserhebung im Tourismus (see annexes in German: "Hotel businesses", "Campings", "Other tourist accommodations")

https://erhebungsportal.estatistik.de/Erhebungsportal/# -> Monatserhebung im Tourismus
18.3.2.6 Questionnaire in English (Annex/Link)

Not available.
18.3.2.7 Interviewer instructions in English (Annex/Link)

Not available.


Annexes:
Hotellerie
Sonstiges Beherbergungsgewerbe
Camping
18.4. Data validation
18.4.1 Capacity 

The regional statistical offices use both automated and manual processes for plausibility checking and correction of the individual data. The Federal Office also monitors the aggregated data supplied on a selective basis. Discrepancies are raised with the regional statistical offices and then corrected.
18.4.2 Occupancy 

The regional statistical offices use both automated and manual processes for plausibility checking and correction of the individual data. The Federal Office also monitors the aggregated data supplied on a selective basis. Discrepancies are raised with the regional statistical offices and then corrected.
18.5. Data compilation

Data preparation includes plausibility checks and corrections of the data collected and also imputation and later revision of missing answers. In addition, the data is aggregated for the purpose of publication.
18.6. Adjustment

Occupancy: A small proportion of the results is published monthly under the Berlin Procedure (BV 4.1), working-day and seasonally adjusted: “www.destatis.de > Themes > Short-term indicators > Accommodation and food service activities”


19. Comment Top

Not available.


Related metadata Top


Annexes Top