Holiday Dwelling 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

    • 29/01/2024

  • 2.2. Metadata last posted

    • 02/01/2024

  • 2.3. Metadata last update

    • 29/01/2024

• 3. Statistical presentation

  • 3.1. Data description

    • The data from the Survey reflects the dual perspective considered in tourism research: from the demand perspective, information is offered regarding travellers, overnight stays and average stay, distributed by country of residence in the case of travellers who are not resident in Spain, and by Autonomous Community of origin in the case of Spanish travellers. From the supply perspective, data is provided regarding estimated bedplaces and holiday dwellings, occupancy rates, as well as information on employment in the sector. This information is offered monthly at the national level, by Autonomous Community, provinces with the highest number of overnight stays, as well as the most statistically significant tourist areas and sites.

  • 3.2. Classification system
    • • 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
    • • Holiday dwelling

        • A holiday (unit) is defined as a real estate property whose use is regularly granted for occasional guest lodging.

      • 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.

      • Average stay in tourism accommodation

        • Average number of nights that a traveller stays.

      • Weekend occupancy rate in dwellings

        • The relationship, as a percentage, between the overnight stays from Friday and Saturday during the reference week, and the product of the holiday dwellings and the days to which the overnight stays refer, in this case, two.

      • Level of occupancy by holiday dwellings

        • The ratio, as a percentage, between the total for holiday dwellings occupied during the month and holiday dwellings available during the same period and the days of the reference month.

      • 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.

      • 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 number of bedplaces in an establishment or company providing holiday dwellings

        • The number of bedplaces estimated by the survey in establishments or companies operating holiday dwellings 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

    • These are the holiday dwellings and companies operating holiday dwellings, registered as such in the corresponding Tourism Boards of each Autonomous Community.

  • 3.6. Statistical population

    • This studies the establishments and/or operating companies within the national territory.

  • 3.7. Reference area

    • The geographical scope includes the entire national territory, except for Ceuta and Melilla, where there are no establishments of this type.

      The information is presented on different levels of geographical breakdown: national, Autonomous Community, provincial, tourist areas (group of municipalities) and tourist sites (municipalities).

  • 3.8. Time coverage

    • Since 2000.

  • 3.9. Base period

    • The Holiday Dwelling Occupancy Survey was carried out for the first time in 2000, and therefore, the year 2000 is the base year

• 4. Unit of measure

  • 4.1. Unit of measure

    • Guests, Overnight stays, Days, Persons, Expressed as a percentage, Apartments, Bedplaces, Rates

• 5. Reference period

  • 5.1. Reference period

    • Month

      Data referred to the period: Mensual A: 2023 MES: 11

• 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 2021-2024, approved by Royal Decree 1110/2020, of 15  December, is the Plan currently implemented. This statistical operation has governmental purposes, and it is included in the National Statistics Plan 2021-2024. (Statistics of the State Administration).

      These statistics comply with European Parliament and Council Regulation (EC) no. 692/2011, of 6 July 2011, regarding tourism statistics. The Spanish version of the European Union regulations affecting this operation is available at: https://www.ine.es/normativa/leyes/UE/minine.htm#30236

  • 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.

      Due to statistical secrecy, those provinces with fewer than 3 establishments/holiday dwelling companies are concealed, as are those with fewer than 4 establishments/holiday dwelling companies, due to significance.

• 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 included in publications such as the Statistical Yearbook, INE Figures, etc. Each month, a press release is prepared with the results of Tourist Accommodation Occupancy Survey (except hotels) and their Proce Indeces

  • 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 for the Holiday Dwelling Occupancy Survey is: https://www.ine.es/dyngs/INEbase/en/operacion.htm?c=Estadistica_C&cid=1254736176962&menu=resultados&idp=1254735576863 The indicator used is number of hits on the online database, AC1=128,401 (cumulated 2021, at 27-12-2023)

       

  • 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

      The microdata are not disseminated.

  • 10.5. Other

    • Moreover, non-continuous requests are also received, which at times become continuous or are extended. The policy for tending to tailor-made requests consists of analysing whether the conditions of statistical secrecy and significance are observed. After this analysis, a viability report is prepared and sent to the petitioner.

  • 10.6. Documentation on methodology

    • The methodology contains information regarding the questionnaires, linking coefficients, variation coefficients, estimators, XML collection method, treatment of partial non-response, definitions and sample. The document may be viewed at the following link:https://www.ine.es/dyngs/INEbase/es/operacion.htm?c=Estadistica_C&cid=1254736176962&menu=metodologia&idp=1254735576863

  • 10.7. Quality documentation

    • Fields 10.6 to 17 of this document may be considered the quality report intended for users for this operation.

      Based on European Parliament and Council Regulation 692/2001, the European Commission (Eurostat) assesses the quality of the transferred data and publishes reports on the quality of European statistics. To this end, each country provides a quality report within the 9 months following 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 Holiday Dwelling Occupancy Survey periodically performs revision activities of the statistical process, in order to comply with the quality conditions required at both the national and international levels. The main activities are the revision of both the data collected and the survey directory, as well as a microfiltering upon receipt of the data and a subsequent macrofiltering. Improvement in the data collection systems (XML).

  • 11.2. Quality assessment

    • As shown in the following sections, which include detailed quality indicators, the HDOS presents very high quality, with data from the operation being made available within a 30-day period. Total non-response is usually approximately 10.5% for provisional data, and 3% for definitive data, and the variation coefficients take values around 2 for the main variables. Periodical updates of the directory, and improvements to the data collection system, are carried out, such as the introduction of the collection via XML files. Lastly, the Eurostat Methodology regarding tourism surveys is also followed: Methodological Manual for Tourism Statistics, available at the following link: http://ec.europa.eu/eurostat/web/tourism/methodology/manuals-and-guidelines

• 12. Relevance

  • 12.1. User needs

    • Users are quite varied: tourism boards/consortiums, individuals, establishments, consultancy companies, Autonomous Community governments, municipal councils, universities, associations of accommodation businesspersons. The data they receive is used for analyses, studies, reports and policy design. User needs that are not met are those that do not comply with the conditions of statistical secrecy and significance. In addition to the information available on the website, users may also request data for time periods other than those published, and for special areas, which are provided by carrying out customised calculations.

  • 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 HDOS meets all of the requirements set out in the international regulations relating to tourism statistics, European Parliament and Council Regulation 692/2011, from the supply perspective. 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, and therefore, the bias is null. Variation coefficients are available for the main variables, travellers and overnight stays. With regard to non-sampling errors, we try to minimise both coverage errors and total non-response errors. For more information, the methodology for this survey may be viewed the following link: https://www.ine.es/en/daco/daco42/ocupacam/notaeoac_en.htm

  • 13.2. Sampling error

    • In order to measure the precision of this statistical operation, there are variation coefficients for the traveller and overnight stay variables, differentiating between residents in Spain and residents abroad. The values of the variation coefficients may be viewed at the following link:

      https://www.ine.es/jaxiT3/Tabla.htm?t=7906&L=1

      In November 2023 A1 for travellers is A1=3.01

  • 13.3. Non-sampling error

    • The estimators used are unbiased, and therefore, the bias is null. Among non-sampling errors, coverage errors are minimised by periodically carrying out crosses between the Autonomous Community directories and the HDOS directory, in order to find potential duplicates, establishments that are missing or that are out of business. Total non-response is minimised between the provisional data and the final data, due to the re-contact with the units that did not answer, and in addition, an imputation of data is performed for these cases. Among the non-sampling errors, there is information available regarding non-response, with the non-response rate in 2020, definitive data, being A4 = 5.02

• 14. Timeliness and punctuality

  • 14.1. Timeliness

    • The time that elapses from the reference date of the data to the publication of the provisional figures is 30 days (TP1=30 days), whereas for the final data, it is one year and one month for the months from January to Junr (TP2=13 months), and the final data from the remaining months are published in June. That is, in April 2021, the provisional data for March 2021 are published, as well as the final data for March 2020, and in 3rd quarter 2021, the final data for 2020 that has not previously been disseminated are published.

  • 14.2. Punctuality

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

• 15. Coherence and Comparability

  • 15.1. Comparability - geographical

    • The availability of a methodology, a design and a common process for the collection, filtering, editing and elevation for the entire geographical scope, guarantees the comparability of the results among the different Autonomous Communities, provinces, tourist areas and tourist sites. On the other hand, the methodological adaptation to Regulation 692/2011 makes comparability possible with the rest of the European Union countries.

  • 15.2. Comparability - over time

    • As of 2000, linking coefficients have been used for directory updates or methodological changes on multiple occasions, for the purpose of the data series being comparable over time. For further information regarding the linking coefficients: https://www.ine.es/en/daco/daco42/ocupapar/coeficientes_enlace_en.htm. In December 2023, the series has 286 elements.(CC2=286)

  • 15.3. Coherence - cross domain

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

  • 15.4. Coherence - internal

    • The data has complete internal coherence, as it is based on the same set of microdata, and is calculated using the same estimation methods for the different breakdowns. The arithmetic and accounting identities are observed in the production of the data sets.

• 16. Cost and burden

  • 16.1. Cost and burden

    • The estimation of the budgetary credit necessary to finance this operation , as foreseen in the 2024 Annual Program, comes to a total of 11,305.53 thousand Euros in the INE budget.

      This estimation concerns tor the Occupancy Survey in Tourist Accommodations (cod. 8591 in PEN) that is formed by five statistical operation, being Holiday Dwelling Occupancy Survey one of them

      There is a means of collection, using XML files, for the purpose of reducing the response burden, as the information is collected directly from the management systems of the establishments, with it not being necessary for respondents to fill out the questionnaire, thus reducing the time that the establishment dedicates to responding to 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+30, more questionnaires from the reference month are received, and therefore, the final version of the results presents greater coverage (increasing from a response rate of 89% in the provisional results to a rate of 97% in the final results). In June each year, a publication is disseminated, which is more detailed than the monthly publication, of the data from the previous year. This publication is final. Though from January to May, the same day that the provisional results from the reference month are published, the final results from the same month the previous year are also disseminated.

  • 17.2. Data revision - practice

    • Each month, the provisional data from the previous month, and the final data from the previous month the previous year, are published, up until the month of June, in which all of the final data from the previous year that has not previously been disseminated is published. The quality indicators used are MAR, absolute average revision, and RMAR, relative average revision, which is obtained for the main variables, travellers and overnight stays.

      The average annual values in 2017-2018-2019-2020 are:

      A6 MAR travellers = 5,494.90

      A6 MAR overnight stays = 28,691.29

      A6 RMAR travellers = 0.52849%

      A6 RMAR overnight stays = 0.46324%

• 18. Statistical processing

  • 18.1. Source data

    • The INE compiles a national directory of holiday dwellings, using the records sent by the Tourism Boards of the Autonomous Communities. This directory contains the following information for each establishment: name, address, category, opening period, number of holiday dwellings and capacity thereof.A stratified sampling is used, by province and size.

  • 18.2. Frequency of data collection

    • Monthly

  • 18.3. Data collection

    • The collection methods are: CAWI, post, fax, e-mail, automatic data collection via XML. The information in the questionnaires is collected and filtered in a decentralised fashion, and the XML information is collected in a centralised fashion. The questionnaire collects information regarding a fortnight. The XML file collects information regarding all the days of the month. The questionnaire is updated annually, with the new countries in the EU.

  • 18.4. Data validation

    • The procedure for supervising the data validation 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 of the data has been collected, it is revised again in a centralised fashion. In the files received by XML, the validation is performed at the time that the data is sent to the INE; if the validations are not verified by the data, the upload is not carried out in the database. Lastly, a macrofiltering is performed.

  • 18.5. Data compilation

    • Firstly, there is a decentralised microfiltering process to detect and filter errors and inconsistencies in the questionnaires. Next, on a central level, the data is linked to that of the XML files, and the estimators are obtained. Subsequently, a macrofiltering is performed, prior to the tabulation and dissemination of the results.

  • 18.6. Adjustment

• 19. Comment

  • 19.1. Comment