Hotel Occupancy Survey

• 1. Contact

  • 1.1. Contact organisation

    • National Statistics Institute of Spain

  • 1.5. Contact mail address

    • Avenida de Manoteras 50-52 - 28050 Madrid

• 2. Metadata update

  • 2.1. Metadata last certified

    • 12/02/2025

  • 2.2. Metadata last posted

    • 24/01/2025

  • 2.3. Metadata last update

    • 12/02/2025

• 3. Statistical presentation

  • 3.1. Data description

    • The Survey data reflects the double aspect that is considered in the study of tourism: on the demand side, information is offered on travellers, overnight stays and average stay distributed by traveller country of residence and the category of occupied establishments, or by Community or Autonomous City of origin in the case of travellers residing in Spain; on the supply side, the number of estimated open establishments, estimated bed-places, degrees of occupation and information on employment in the sector are provided, according to the category of establishment. This information is offered monthly, at the national, autonomous community, provincial, tourist area and tourist site level.

  • 3.2. Classification system
    • • Categorías hoteleras

        • H1   Cinco estrellas de oro H2   Cuatro estrellas de oro H3   Tres estrellas de oro H4   Dos estrellas de oro H5   Una estrella de oro H6   Tres y dos estrellas de plata H7   Una estrella de plata   .

      • Comunidades y Ciudades Autónomas

        • 01   Andalucía 02   Aragón 03   Asturias, Principado de 04   Balears, Illes 05   Canarias 06   Cantabria 07   Castilla y León 08   Castilla - La Mancha 09   Cataluña 10   Comunitat Valenciana 11   Extremadura 12   Galicia 13   Madrid, Comunidad de 14   Murcia, Región de 15   Navarra, Comunidad Foral de 16   País Vasco 17   Rioja, La 18   Ceuta 19   Melilla

      • Provincias

        • 02   Albacete 03   Alicante/Alacant 04   Almería 01   Araba/Álava 33   Asturias 05   Ávila 06   Badajoz 07   Balears, Illes 08   Barcelona 48   Bizkaia 09   Burgos 10   Cáceres 11   Cádiz 39   Cantabria 12   Castellón/Castelló 13   Ciudad Real 14   Córdoba 15   Coruña, A 16   Cuenca 20   Gipuzkoa 17   Girona 18   Granada 19   Guadalajara 21   Huelva 22   Huesca 23   Jaén 24   León 25   Lleida 27   Lugo 28   Madrid 29   Málaga 30   Murcia 31   Navarra 32   Ourense 34   Palencia 35   Palmas, Las 36   Pontevedra 26   Rioja, La 37   Salamanca 38   Santa Cruz de Tenerife 40   Segovia 41   Sevilla 42   Soria 43   Tarragona 44   Teruel 45   Toledo 46   Valencia/València 47   Valladolid 49   Zamora 50   Zaragoza 51   Ceuta 52   Melilla

      • Puntos turísticos

        • 01059   Vitoria-Gasteiz 02003   Albacete 03011   Alfàs del Pi (l') 03014   Alicante/Alacant 03031   Benidorm 03047   Calp 03050   Campello (El) 03063   Dénia 03065   Elche/Elx 03082   Jávea/Xàbia 03128   Teulada 03133   Torrevieja 03139   Villajoyosa/Vila Joiosa (la) 04013   Almería 04064   Mojácar 04066   Níjar 04079   Roquetas de Mar 05019   Ávila 06015   Badajoz 06083   Mérida 07003   Alcúdia 07011   Calvià 07014   Capdepera 07040   Palma de Mallorca 07051   Sant Llorenç des Cardassar 08019   Barcelona 08056   Castelldefels 08270   Sitges 09059   Burgos 10037   Cáceres 10148   Plasencia 10195   Trujillo 11004   Algeciras 11006   Arcos de la Frontera 11012   Cádiz 11014   Conil de la Frontera 11020   Jerez de la Frontera 11027   Puerto de Santa María (El) 11035   Tarifa 12028   Benicasim/Benicàssim 12040   Castellón de la Plana/Castelló de la Plana 12085   Oropesa del Mar/Orpesa 12089   Peníscola/Peñíscola 13034   Ciudad Real 14021   Córdoba 15030   Coruña, A 15078   Santiago de Compostela 16078   Cuenca 17023   Blanes 17047   Castelló d'Empúries 17048   Castell-Platja d'Aro 17095   Lloret de Mar 17178   Sant Pere Pescador 17199   Torroella de Montgrí 18017   Almuñécar 18042   Capileira 18087   Granada 18140   Motril 18904   Alpujarra de la Sierra 19257   Sigüenza 20069   Donostia/San Sebastián 21042   Isla Cristina 22054   Benasque 22130   Jaca 22204   Sallent de Gállego 23028   Cazorla 23047   Iruela (La) 23081   Segura de la Sierra 23904   Santiago-Pontones 24089   León 24115   Ponferrada 25025   Naut Aran 25120   Lleida 25243   Vielha e Mijaran 26061   Ezcaray 26089   Logroño 27028   Lugo 27051   Ribadeo 27066   Viveiro 28079   Madrid 29015   Antequera 29025   Benalmádena 29051   Estepona 29054   Fuengirola 29067   Málaga 29069   Marbella 29070   Mijas 29075   Nerja 29084   Ronda 29094   Vélez-Málaga 29901   Torremolinos 30003   Águilas 30016   Cartagena 30020   Fortuna 30026   Mazarrón 30030   Murcia 30035   San Javier 31201   Pamplona/Iruña 32054   Ourense 33012   Cangas de Onís 33021   Cudillero 33024   Gijón 33036   Llanes 33044   Oviedo 33076   Villaviciosa 34120   Palencia 35003   Antigua 35012   Mogán 35014   Oliva (La) 35015   Pájara 35016   Palmas de Gran Canaria, Las 35019   San Bartolomé de Tirajana 35024   Teguise 35028   Tías 35034   Yaiza 36022   Grove (O) 36051   Sanxenxo 36057   Vigo 37274   Salamanca 38001   Adeje 38003   Alajeró 38006   Arona 38009   Breña Baja 38013   Frontera 38017   Granadilla de Abona 38024   Llanos de Aridane (Los) 38027   Paso (El) 38028   Puerto de la Cruz 38035   San Miguel de Abona 38036   San Sebastián de la Gomera 38037   Santa Cruz de la Palma 38038   Santa Cruz de Tenerife 38040   Santiago del Teide 38045   Tazacorte 38049   Valle Gran Rey 39075   Santander 40194   Segovia 41091   Sevilla 42173   Soria 43038   Cambrils 43092   Mont-roig del Camp 43148   Tarragona 43905   Salou 44009   Albarracín 44216   Teruel 45168   Toledo 46105   Cullera 46131   Gandia 46181   Oliva 46250   Valencia/València 47186   Valladolid 48020   Bilbao 49021   Benavente 49275   Zamora 50297   Zaragoza

  • 3.3. Sector coverage

    • Tourism

  • 3.4. Statistical concepts and definitions
    • • Categoría de alojamiento turístico

        • Divisiones establecidas al clasificar los alojamientos turísticos en función de las instalaciones, equipamientos y servicios que proporcionan.

      • Estimated open rural tourism housing accomodations

        • Seasonally opened rural tourism accomodation are those where the month of reference is included within their opening period.

      • Hotel establishments

        • Hotel establishments are understood to be those establishments that offer collective accommodation services for payment, with or without other complementary services (hotel, hotel-apartment or apart-hotel, motel, inn, pension, etc.).

      • Average stay in tourism accommodation

        • Average number of nights that a traveller stays.

      • Occupancy rate by bedroom

        • The ratio, as a percentage, between the average daily number of rooms occupied in the month and the total number of bedrooms available.

      • Occupancy rate by bedplaces in holiday dwellings

        • Percentage-based ratio between the number of overnight stays and the number of vacancies by the days the overnight stays refer to plus the number of supplementary beds used. Supplementary beds are those that do not have a fixed nature and are not included in the vacancies declared officially by the establishment but do appear in the directory.

      • Weekend occupancy rate by bedplaces

        • The relationship, as a percentage, between the overnight stays from Friday and Saturday during the reference week, and the product of the bedplaces, including extra beds for those two days, and the days to which the overnight stays refer, in this case, two.

      • Estimated bedrooms

        • The number of bedrooms estimated by the survey in the establishments open for the season. A bedroom is the unit formed by one room or groups of rooms which are rented by tourists as a whole (and constituting an indivisible rental). Rooms may be single, double or multiple, depending on whether they are equipped permanently to accommodate one, two or several people.

      • Overnight stays or occupied bedplaces in tourism accommodation

        • An overnight stay is understood to be every night that a guest stays in the establishment. As occurs with the checking in of guests, occupied bedplaces are broken down according to place of residence.

      • Personal no remunerado

        • El personal ocupado no remunerado está constituido por las personas que trabajan con regularidad en la unidad de observación y no perciben una remuneración en forma de sueldo, salario, comisión, gratificación, destajo o en especie.

      • Personal ocupado

        • Se corresponde con el número total de personas que trabajan en la unidad de observación (incluidos los propietarios que trabajan, los socios que trabajan con regularidad en la unidad y los familiares no retribuidos que trabajan con regularidad en la unidad) y el de personas que, aunque trabajan fuera de la unidad, pertenecen a ella y son retribuidas por ella (por ejemplo, los representantes de comercio, el personal de mensajería y los equipos de reparación y mantenimiento que trabajan por cuenta de la unidad de observación). Incluye tanto al personal remunerado como al no remunerado.

      • Personal remunerado

        • Son las personas que trabajan para un empresario, tienen un contrato de trabajo y perciben una remuneración en forma de sueldo, salario, comisión, gratificación, destajo o en especie (deben incluirse todas las personas cuyos pagos se registran en el epígrafe "Costes de personal" en la cuenta de pérdidas y ganancias de la empresa, incluso cuando, en algunos casos, no exista contrato de trabajo).

      • Estimated bedplaces in tourism accommodation

        • The number of bedplaces estimated by the survey in establishments open for the season. The number of bedplaces is equal to the number of fixed beds in the establishment. Extra beds therefore are not included and double beds equal two bedplaces.

      • Province ( Article 141.1 of the Spanish Constitution)

        • The province is a local institution with its own legal status, determined by grouping municipalities and dividing territories in order to fulfil State activities. Any alteration in the provincial limits is to be approved by the General Courts by means of constitutional law.

      • Tourist site

        • Municipality where the concentration of tourist amenities is significant.

      • Travellers entering campsites

        • All persons who stay one or more consecutive nights in the same accommodation. Guests are classified by their country of residence, and people residing in Spain are classified by the Autonomous Community they usually live in

      • Tourist area

        • Set of municipalities where tourist inflow is specifically located. Information is offered on the main areas of tourist interest.

  • 3.5. Statistical unit

    • The analysis units are hotel establishments registered as such in the corresponding registry of the Tourism Councils of each Autonomous Community.

  • 3.6. Statistical population

    • All hotel establishments in the national territory are investigated.

  • 3.7. Reference area

    • Hotel establishments throughout the national territory are investigated.

      The information is disseminated at different levels of geographical breakdown: national, community or autonomous city, provincial, tourist areas (set of municipalities) and municipalities.

  • 3.8. Time coverage

    • Since 1964. Data on paper from 1964 to 1998. From 1999 onwards this is available on the website.

  • 3.9. Base period

    • The year in which collection began for the Hotel Occupancy Survey, and therefore the base year, is 1999.

• 4. Unit of measure

  • 4.1. Unit of measure

    • Travellers, Overnight stays, Days, Persons, Per 100, Establishments, Bed-places and Rooms.

• 5. Reference period

  • 5.1. Reference period

    • Month

      Data referred to the period: Mensual A: 2024 MES: 12

• 6. Institutional mandate

  • 6.1. Legal acts and other agreements

    • The compilation and dissemination of the data are governed by the Statistical Law No. 12/1989 "Public Statistical Function" of May 9, 1989, and Law No. 4/1990 of June 29 on “National Budget of State for the year 1990" amended by Law No. 13/1996 "Fiscal, administrative and social measures" of December 30, 1996, makes compulsory all statistics included in the National Statistics Plan. The National Statistical Plan 2009-2012 was approved by the Royal Decree 1663/2008. It contains the statistics that must be developed in the four year period by the State General Administration's services or any other entity dependent on it. All statistics included in the National Statistics Plan are statistics for state purposes and are obligatory. The National Statistics Plan 2025-2028, approved by Royal Decree 1225/2024, of  3 December, is the Plan currently implemented. This statistical operation has governmental purposes, and it is included in the National Statistics Plan 2025-2028. (Statistics of the State Administration).

      This statistic is subject to the provisions of Regulation (EC) No. 692/2011 of the European Parliament and of the Council, of July 6, 2011, regarding tourism statistics. The Spanish version of the European Union rules affecting this operation is available at: https://www.ine.es/normativa/leyes/UE/minine.htm#30235

  • 6.2. Data sharing

    • The exchanges of information needed to elaborate statistics between the INE and the rest of the State statistical offices (Ministerial Departments, independent bodies and administrative bodies depending on the State General Administration), or between these offices and the Autonomic statistical offices, are regulated in the LFEP (Law of the Public Statistic Function). This law also regulates the mechanisms of statistical coordination, and concludes cooperation agreements between the different offices when necessary.

• 7. Confidentiality

  • 7.1. Confidentiality - policy

    • The Statistical Law No. 12/1989 specifies that the INE cannot publish, or make otherwise available, individual data or statistics that would enable the identification of data for any individual person or entity. Regulation (EC) No 223/2009 on European statistics stipulates the need to establish common principles and guidelines ensuring the confidentiality of data used for the production of European statistics and the access to those confidential data with due account for technical developments and the requirements of users in a democratic society

  • 7.2. Confidentiality - data treatment

    • INE provides information on the protection of confidentiality at all stages of the statistical process: INE questionnaires for the operations in the national statistical plan include a legal clause protecting data under statistical confidentiality. Notices prior to data collection announcing a statistical operation notify respondents that data are subject to statistical confidentiality at all stages. For data processing, INE employees have available the INE data protection handbook, which specifies the steps that should be taken at each stage of processing to ensure reporting units' individual data are protected. The microdata files provided to users are anonymised.

      In the case of the categories of establishments, those that do not comply with statistical secrecy are added to the lower or higher categories. The data for tourist areas or points where less than 9 establishments answered is hidden. The data for nationalities with less than 10 travellers or 20 overnight stays per month is also hidden.

• 8. Release policy

  • 8.1. Release calendar

    • The advance release calendar that shows the precise release dates for the coming year is disseminated in the last quarter of each year.

  • 8.2. Release calendar access

    • The calendar is disseminated on the INEs Internet website (Publications Calendar)

  • 8.3. User access

    • The data are released simultaneously according to the advance release calendar to all interested parties by issuing the press release. At the same time, the data are posted on the INE's Internet website (www.ine.es/en) almost immediately after the press release is issued. Also some predefined tailor-made requests are sent to registered users. Some users could receive partial information under embargo as it is publicly described in the European Statistics Code of Practice

• 9. Frequency of dissemination

  • 9.1. Frequency of dissemination

    • Monthly

• 10. Accessibility and clarity

  • 10.1. News release

    • The results of the statistical operations are normally disseminated by using press releases that can be accessed via both the corresponding menu and the Press Releases Section in the web

  • 10.2. Publications

    • The results of the survey are disseminated through the INE WEBSITE and some results are collected in publications such as the Statistical Yearbook, INE Figures, etc. A press release is prepared on a monthly basis that includes the following operations: HOS, HPI and IPHS.

  • 10.3. On-line database

    • INEbase is the system the INE uses to store statistical information on the Internet. It contains all the information the INE produces in electronic formats. The primary organisation of the information follows the theme-based classification of the Inventory of Statistical Operations of the State General Administration . The basic unit of INEbase is the statistical operation, defined as the set of activities that lead to obtaining statistical results on a determined sector or subject based on the individually collected data. Also included in the scope of this definition are synthesis preparation.

      The specific link to the Hotel Occupancy Survey in INEbase can be found at: https://www.ine.es/dyngs/INEbase/en/operacion.htm?c=Estadistica_C&cid=1254736177015&menu=ultiDatos&idp=1254735576863

       

      The indicator used is the number of accesses to the online database, AC1 = 321,692 in 2024 (cumulated til 30-6-2024) and AC2= 899 (year 2023)

  • 10.4. Micro-data access
    • A lot of statistical operations disseminate public domain anonymized files, available free of charge for downloading in the INE website Microdata Section

      No microdata information is shared.

  • 10.5. Other

    • In addition, custom requests are received, which sometimes convert into continuous requests, or are expanded. The policy of attention to customised requests is to analyse whether the conditions of statistical secrecy and significance are met. Following this analysis, a feasibility report is prepared and sent to the requesting party. The establishments that send the survey data via XML also receive a personalized report on the day of publication of the press release (see anonymised example) with information on the ADR, RevPAR and degree of occupancy by rooms variables for the establishment and its competition. If these types of establishments request it, they can also receive information on other areas.

  • 10.6. Documentation on methodology

    • The methodology contains information on the questionnaires, link coefficients, variation coefficients, estimators, XML collection method, treatment of partial non-response, definitions, sample. The document can be consulted at the following link:

      https://www.ine.es/dyngs/INEbase/en/operacion.htm?c=Estadistica_C&cid=1254736177015&menu=metodologia&idp=1254735576863

      AC3=100%

  • 10.7. Quality documentation

    • Fields 10.6 to 17 of this document are the user-oriented quality report for this operation.

      Based on Regulation 692/2011 of the European Parliament and of the Council, the European Commission (Eurostat) evaluates the quality of the data transmitted and publishes reports on the quality of European statistics. Each country provides a quality report within 9 months after the end of the year. The link is as follows: https://ec.europa.eu/eurostat/cache/metadata/en/tour_occ_esms.htm

• 11. Quality management

  • 11.1. Quality assurance

    • Quality assurance framework for the INE statistics is based on the ESSCoP, the European Statistics Code of Practice made by EUROSTAT. The ESSCoP is made up of 16 principles, gathered in three areas: Institutional Environment, Processes and Products. Each principle is associated with some indicators which make possible to measure it. In order to evaluate quality, EUROSTAT provides different tools: the indicators mentioned above, Self-assessment based on the DESAP model, peer review, user satisfaction surveys and other proceedings for evaluation.

      The Hotel Occupancy Survey periodically performs review activities of the statistical process to meet the necessary quality conditions, both nationally and internationally. The main activities are the revision of both the collected data and the survey directory as well as a micro-purification when receiving the data and a subsequent macro-purification. Improvement in data collection systems (XML).

  • 11.2. Quality assessment

    • As can be seen in the following sections - in which the quality indicators are collected in detail - the HOS is very good quality, and has data from the operation in a period of 23 days. The total non-response is usually around 9% for provisional data and 3.5% for definitive data, and the coefficients of variation also take values lower than 0.5 for the main variables. Periodical updates are made to the directory and improvements to the data collection system, such as the introduction of data collection through XML files. Finally, the Eurostat methodology for tourism surveys is also followed: Methodological Manual for Tourism Statistics, which is available at the following link: https://ec.europa.eu/eurostat/documents/3859598/6454997/KS-GQ-14-013-EN-N.pdf#page=127

• 12. Relevance

  • 12.1. User needs

    • Users are very varied: tourism boards/consortia, individuals, establishments, consultancies, AC governments, town halls, universities, associations of hospitality businesspersons. The data received is used for analysis, studies, reports and policy design. Unmet user needs are those that violate the conditions of statistical secrecy and significance. Among the uses of users are the "Profitability Barometer" published by Exceltur and the "Monitor Report" prepared by CEHAT, both from the data provided by the INE.

  • 12.2. User satisfaction

    • The INE has carried out general user satisfaction surveys in 2007, 2010, 2013,  2016 and 2019 and it plans to continue doing so every three years. The purpose of these surveys is to find out what users think about the quality of the information of the INE statistics and the extent to which their needs of information are covered. In addition, additional surveys are carried out in order to acknowledge better other fields such as dissemination of the information, quality of some publications...

      On the INE website, in its section Methods and Projects / Quality and Code of Practice / INE quality management / User surveys are available surveys conducted to date.(Click  next link)

       

  • 12.3. Completeness

    • The HOS satisfies all the requirements established in the international regulations related to tourism statistics, Regulation 692/2011 of the European Parliament and of the Council, from the point of view of supply. 100% of the information requested by the Regulation is supplied. (R1= 100%)

• 13. Accuracy and reliability

  • 13.1. Overall accuracy

    • The estimators used are unbiased, so the bias is zero. Variation coefficients are available for the main variables, travelers and overnight stays. Regarding non-sampling errors, an attempt is made to minimize both coverage errors and total non-response errors. More information can be found in the survey methodology that is available at the following link: https://www.ine.es/en/daco/daco42/ocuphotel/notaeoh_en.htm

  • 13.2. Sampling error

    • To measure the precision of this statistical operation, variation coefficients are available for the variables travelers and overnight stays, disaggregating between residents in Spain and residents abroad. The values of the coefficients of variation can be consulted at the following link: https://www.ine.es/dynt3/inebase/en/index.htm?padre=239

      A1 = 0.64% in travelers in November 2024

  • 13.3. Non-sampling error

    • The estimators used are unbiased, so the bias is zero. Among non-sampling errors, coverage errors are minimized by periodically cross-checking the directories of the Autonomous Communities and the HOS directory in order to locate possible duplicates, establishments that are missing or no longer active. A total lack of response is minimized between the provisional and definitive data thanks to follow-up with the units that did not answer and. In addition, an imputation of data is carried out for these cases. Among non-sampling errors, information is available on non-response, with the non-response rate in 2021 being A4 = 3.8%

• 14. Timeliness and punctuality

  • 14.1. Timeliness

    • The number of days from the date of reference for the data to the publication of the provisional figures is 23 days (TP1 = 23 days), while for the definitive data it is one year and one month for the months of January to May. (TP2 = 13 months). The final data for the rest of the months is published in June. That is, in April 2024 the provisional data for March 2024 and final data for March 2023 are published, and in September 2024 the final data for 2023 not previously published are published.

  • 14.2. Punctuality

    • Each publication has been disseminated on the date announced in the publications calendar. The calendar can be consulted at the following link: https://www.ine.es/en/daco/daco41/calen_en.htm

      TP3=100%

• 15. Coherence and Comparability

  • 15.1. Comparability - geographical

    • The availability of a methodology, a design and a common process of collection, filtering, editing and updating in all its geographical scope, guarantees the comparability of the results between the different Autonomous Communities, provincces, tourist areas and tourist sites. On the other hand, the methodological adaptation to regulation 692/2011 makes comparability with the rest of the countries in the European Union possible.

  • 15.2. Comparability - over time

    • Since 1999, link coefficients have been repeatedly used for directory updates or methodological changes in order to make the data series comparable over time. For more information on link coefficients: https://www.ine.es/en/daco/daco42/ocuphotel/coeficientes_enlace_en.htm. In January 2025 the series has 312 elements.

      Therefore, CC2 = 312

  • 15.3. Coherence - cross domain

    • Although the variables collected in this survey are not collected in any other survey, there is a coherence between the values obtained and the evolution of the economy.

  • 15.4. Coherence - internal

    • The data are entirely internally consistent, as they are based on the same set of microdata and are calculated using the same estimation methods for the various disaggregations. The arithmetic and accounting identities are observed in the production of the data sets.

• 16. Cost and burden

  • 16.1. Cost and burden

    • The estimate of the budget credit necessary to finance this operation foreseen in the 2025 Annual Program is 11,514.54 thousand euros in the INE budget.

      This estimate corresponds to the Tourist Accommodation Occupancy Survey (PEN code 9621), which is made up of five statistical operations, with the 30235 Hotel Occupancy Survey being one of them.

      No information is available on the burden on informants. There is a form of collection using XML files that aims to reduce the burden on informants. Information is collected directly from the management systems of the establishments, and it is not necessary for informants to fill out the questionnaire, thus reducing the time that the establishment spends answering the questionnaire.

• 17. Data revision

  • 17.1. Data revision - policy

    • The INE of Spain has a policy which regulates the basic aspects of statistical data revision, seeking to ensure process transparency and product quality. This policy is laid out in the document approved by the INE board of directors on 13 March of 2015, which is available on the INE website, in the section "Methods and projects/Quality and Code of Practice/INE’s Quality management/INE’s Revision policy" (link).

      This general policy sets the criteria that the different type of revisions should follow:  routine revision- it is the case of statistics whose production process includes regular revisions-; more extensive revision- when methodological or basic reference source changes take place-; and exceptional revision- for instance, when an error appears in a published statistic-.

      The revision policy is as follows: once the results are published in t+23, more questionnaires are received for the reference month, so that the final version of the results presents a greater coverage (going from a response rate of 93 % in provisional to 97.5% in definitive). In June of each year, a more detailed publication - more detailed than the monthly publication - of the previous year's data is published. This publication is final. From January to May, however, the same day that the provisional results of the reference month are published, the final results of the same month of the previous year are also published.

  • 17.2. Data revision - practice

    • The provisional data for the previous month and the definitive data for the previous month of the previous year are published monthly until June, when all definitive data for the previous year that had not been previously released is published. The quality indicators used are AMR, absolute mean revision, and RMR, relative mean revision, which is obtained for the main variables, travellers and overnight stays.

      The period selected for AMR and RMR calculations is January 2017-December 2021

      A6-AMR travelers = 24,724.87 A6-RMR travelers = 0.21544%

      A6-AMR overnight stays = 62,836.54 A6-RMR overnight stays = 0.17555%

• 18. Statistical processing

  • 18.1. Source data

    • The INE draws up a national directory of hotel establishments based on the records sent by the Tourism Councils of the Autonomous Communities. This directory contains the following information for each establishment: name, address, category, opening period, number of rooms and capacity. A sampling stratified by provinces and categories is used.with sub-strata according the size of establishments.

  • 18.2. Frequency of data collection

    • Monthly

  • 18.3. Data collection

    • The collection methods are: CAWI, mail, fax, mail, automatic data collection via XML. The information in questionnaires is collected and refined in a decentralized fashion, and the XML information is collected in a centralized fashion. The questionnaire collects information on seven consecutive days, which is the reference week. The 3, 4 and 5-star establishments also fill out a questionnaire with monthly data. The XML file collects information about every day of the month. The questionnaire is updated annually with the new EU countries.

  • 18.4. Data validation

    • The procedure to supervise the validation of the data consists of applying a series of validations to the questionnaires. In the event that any inconsistency is detected, the INE contacts the establishment again. When all the data has been collected, it is centrally reviewed once more. In the files received by XML, the validation is carried out at the moment the data is sent to the INE. If the data does not verify the validations, it is not uploaded to the database. Finally, a macro-purification is carried out.

  • 18.5. Data compilation

    • First, there is a decentralized micro-purification process to detect and correct errors and inconsistencies in the questionnaires. Then, at the central level, the data is joined to that of the XML files and the estimators are obtained. Subsequently, a macro-purification is carried out before the tabulation and dissemination of the results.

  • 18.6. Adjustment

    • No adjustments are applied.

• 19. Comment

  • 19.1. Comment