- Methods and Projects
- Standards and Classifications
Standardised Methodological Report
Hotel Occupancy Survey
- 1Contact
- 1.1Contact organisation
National Statistics Institute of Spain
- 1.5Contact mail address
Avenida de Manoteras 50-52 - 28050 Madrid
- 1.1Contact organisation
- 2Metadata update
- 2.1Metadata last certified
12/02/2025
- 2.2Metadata last posted
24/01/2025
- 2.3Metadata last update
12/02/2025
- 2.1Metadata last certified
- 3Statistical presentation
- 3.1Data 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. - 3.2Classification 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
- Categorías hoteleras
- 3.3Sector coverage
Tourism
- 3.4Statistical 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.
- Categoría de alojamiento turístico
- 3.5Statistical unit
The analysis units are hotel establishments registered as such in the corresponding registry of the Tourism Councils of each Autonomous Community.
- 3.6Statistical population
All hotel establishments in the national territory are investigated.
- 3.7Reference 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.
- 3.8Time coverage
Since 1964. Data on paper from 1964 to 1998. From 1999 onwards this is available on the website.
- 3.9Base period
The year in which collection began for the Hotel Occupancy Survey, and therefore the base year, is 1999.
- 3.1Data description
- 4Unit of measure
- 4.1Unit of measure
Travellers, Overnight stays, Days, Persons, Per 100, Establishments, Bed-places and Rooms.
- 4.1Unit of measure
- 5Reference period
- 5.1Reference period
Month
Data referred to the period: Mensual A: 2024 MES: 12
- 5.1Reference period
- 6Institutional mandate
- 6.1Legal 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).
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
- 6.2Data 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.
- 6.1Legal acts and other agreements
- 7Confidentiality
- 7.1Confidentiality - 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
- 7.2Confidentiality - 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.
- 7.1Confidentiality - policy
- 8Release policy
- 8.1Release calendar
The advance release calendar that shows the precise release dates for the coming year is disseminated in the last quarter of each year.
- 8.2Release calendar access
The calendar is disseminated on the INEs Internet website (Publications Calendar)
- 8.3User 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
- 8.1Release calendar
- 9Frequency of dissemination
- 9.1Frequency of dissemination
Monthly
- 9.1Frequency of dissemination
- 10Accessibility and clarity
- 10.1News 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
- 10.2Publications
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.
- 10.3On-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)
- 10.4Micro-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.
- 10.5Other
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.
- 10.6Documentation 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:
AC3=100%
- 10.7Quality 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
- 10.1News release
- 11Quality management
- 11.1Quality 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).
- 11.2Quality 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
- 11.1Quality assurance
- 12Relevance
- 12.1User 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.
- 12.2User 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)
- 12.3Completeness
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%)
- 12.1User needs
- 13Accuracy and reliability
- 13.1Overall 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
- 13.2Sampling 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
- 13.3Non-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%
- 13.1Overall accuracy
- 14Timeliness and punctuality
- 14.1Timeliness
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.
- 14.2Punctuality
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%
- 14.1Timeliness
- 15Coherence and Comparability
- 15.1Comparability - 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.
- 15.2Comparability - 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
- 15.3Coherence - 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.
- 15.4Coherence - 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.
- 15.1Comparability - geographical
- 16Cost and burden
- 16.1Cost 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.
- 16.1Cost and burden
- 17Data revision
- 17.1Data 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.
- 17.2Data 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%
- 17.1Data revision - policy
- 18Statistical processing
- 18.1Source 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. - 18.2Frequency of data collection
Monthly
- 18.3Data 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.
- 18.4Data 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.
- 18.5Data 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.
- 18.6Adjustment
No adjustments are applied.
- 18.1Source data
- 19Comment
- 19.1Comment
- 19.1Comment