- Methods and Projects
- Standards and Classifications
Standardised Methodological Report
Holiday Dwelling 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
29/01/2024
- 2.2Metadata last posted
02/01/2024
- 2.3Metadata last update
29/01/2024
- 2.1Metadata last certified
- 3Statistical presentation
- 3.1Data 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.
- 3.2Classification 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
- Comunidades y Ciudades Autónomas
- 3.3Sector coverage
Tourism
- 3.4Statistical 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.
- Holiday dwelling
- 3.5Statistical unit
These are the holiday dwellings and companies operating holiday dwellings, registered as such in the corresponding Tourism Boards of each Autonomous Community.
- 3.6Statistical population
This studies the establishments and/or operating companies within the national territory.
- 3.7Reference 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).
- 3.8Time coverage
Since 2000.
- 3.9Base period
The Holiday Dwelling Occupancy Survey was carried out for the first time in 2000, and therefore, the year 2000 is the base year
- 3.1Data description
- 4Unit of measure
- 4.1Unit of measure
Guests, Overnight stays, Days, Persons, Expressed as a percentage, Apartments, Bedplaces, Rates
- 4.1Unit of measure
- 5Reference period
- 5.1Reference period
Month
Data referred to the period: Mensual A: 2023 MES: 11
- 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).
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
- 6.2Data 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.
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.
- 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 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
- 10.3On-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 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)
- 10.4Micro-data access
A lot of statistical operations disseminate public domain anonymized files, available free of charge for downloading in the INE website Microdata Section
The microdata are not disseminated.
- 10.5Other
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.
- 10.6Documentation 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
- 10.7Quality 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
- 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 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).
- 11.2Quality 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
- 11.1Quality assurance
- 12Relevance
- 12.1User 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.
- 12.2User 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 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%)
- 12.1User needs
- 13Accuracy and reliability
- 13.1Overall 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
- 13.2Sampling 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
- 13.3Non-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
- 13.1Overall accuracy
- 14Timeliness and punctuality
- 14.1Timeliness
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.
- 14.2Punctuality
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
- 14.1Timeliness
- 15Coherence and Comparability
- 15.1Comparability - 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.
- 15.2Comparability - 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)
- 15.3Coherence - 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.
- 15.4Coherence - 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.
- 15.1Comparability - geographical
- 16Cost and burden
- 16.1Cost 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.
- 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+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.
- 17.2Data 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%
- 17.1Data revision - policy
- 18Statistical processing
- 18.1Source 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.
- 18.2Frequency of data collection
Monthly
- 18.3Data 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.
- 18.4Data 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.
- 18.5Data 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.
- 18.6Adjustment
- 18.1Source data
- 19Comment
- 19.1Comment
- 19.1Comment