The main objective of this operation is to have two indicators available that facilitate decision-making for the hotel sector. The indicators are the ADR (Average Daily Rate) and the RevPAR (Revenue per Available Room). These two variables, together with the occupancy rate per room, constitute and important source of information for hotel establishments, enabling them to assess their price policy or revenue management.
The analysis units are all hotel establishments registered as such in the corresponding register of the Tourist Boards of each Autonomous Community.
Research is carried out on every hotel establishment in the national territory.
The geographical scope includes the entire national territory.
The information is presented on different levels of geographical breakdown: national, Autonomous Community, provincial
The data series has been available as of 2008 for customised requests. Data is disseminated on the INE website as of the year 2010.
The base year, that is, the year in which the index was first published, is the year 2008.
Data referred to the period: Mensual A: 2018 MES: 12
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 2017-2020, approved by Royal Decree 410/2016, of 31 October, is the Plan currently implemented. This statistical operation has governmental purposes, and it is included in the National Statistics Plan 2017-2020. (Statistics of the State Administration).
This statistical operation is not subject to any European regulations
For establishment categories, those that do not comply with statistical secrecy are aggregated with the lowest or highest categories. The data is concealed when fewer than 5 establishments reply.
The results of the survey are disseminated via the INE website, and some results are included in publications such as the Statistical Yearbook, INE Figures, etc. A press release is prepared monthly, containing the following operations: HOS, HPI and IPHS.
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 of the Indicators on the Profitability of the Hotel Sector in INEbase is: https://www.ine.es/dynt3/inebase/en/index.htm?padre=252&dh=1 The indicator used is AC2 (number of hits on the online database) = 1458315
Microdata sets are not disseminated.
Tailor-made requests are also received, which on occasion 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 met. After this analysis, a viability report is prepared and sent to the petitioner.
The methodology contains information regarding the questionnaires, estimators, definitions, sample. The document may be viewed at the following link: https://www.ine.es/en/metodologia/t11/meto_irsh_en.pdf
Fields 10.6 to 17.2 of this document may be considered the quality report intended for users for this operation
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, which serves as the basis for the IPHS, periodically performs activities for the revision of the statistical process, in order to meet the quality conditions required on both the national and international levels. The main activities are the revision of both the data collected, such as the survey directory, and a microfiltering upon receipt of the data, followed by a macrofiltering. Improvement in the data collection systems (XML).
As shown in the next sections, where the quality indicators are explained in detail, the IPHS presents very high quality, and the data from the operation is made available within a 23-day period. Total non-response is usually approximately 7% for provisional data, and 2,5% for final data. Periodical updates of the directory and improvements in the data collection system are carried out, as is the introduction of the collection via XML files.
Users are quite varied: tourism boards/consortiums, individuals, establishments, consultancy companies, Autonomous Community governments, municipal councils, universities, associations of accommodation businesspersons. The data received 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 statistical significance. Worth noting among uses by users is the "Monitor Report" compiled by the CEHAT using the data provided by the INE. The information collected enables answering most of the requests received. Those that are not answered provide information that is studied for possible future modifications.
The INE has carried out general user satisfaction surveys in 2007, 2010, 2013 and 2016 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)
100% of the information requested by the National Statistical Plan is supplied.
The estimators used are unbiased, and therefore, the bias is null. With regard to non-sampling errors, we try to minimise both coverage errors and total non-response errors.
It is not currently available. It will be uploaded in the future.
The estimators used are unbiased, and therefore, the bias is null. Among the non-sampling errors, coverage errors are minimised by carrying out periodical crosses between the Autonomous Community directories and the HOS directory, the basis of the IPHS, for the purpose of finding possible duplicities, establishments that are missing or those that are no longer active. 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 2016, definitive data, being A3 = 2.88.
The time that elapses from the reference date of the data to the publication of the provisional figures is 23 days, whereas for the final data, it is one year and one month. That is, in April 2016, the provisional data for March 2016 is published, as well as the final data for March 2015, and so on and so forth.
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
The availability of a methodology, a design and a common process for collection, filtering, publication and elevation for the entire geographical scope, guarantees the comparability of the results among the different Autonomous Communities, provinces, tourist areas and tourist sites. This index does not follow any European Regulations, and therefore, information is not available regarding international comparability.
As of 2010, linking coefficients have been used on several occasions, in order for the data series to be comparable over time. For further information regarding the linking coefficients: https://www.ine.es/en/daco/daco42/prechote/coeficientes_enlace_en.htm In December 2017, the series has 120 elements.
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.
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.
The estimation of the budgetary credit necessary to finance these statistics, as set out in the 2019 Annual Programme, comes to a total of 6.99 thousand euros
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.
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 on t+23, 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 93% in the provisional results to a rate of 97,5% in the final results). The final data is published the following year, that is, for example, in April 2016, the provisional data for March 2016 and the final data for March 2015 are published.
Each month, the provisional data for the previous month is published, as well as the final data for the previous month the previous year. 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 definitive values in 2017 are:
MAR_ADR = 0.2275; MAR_RevPar = 0.2925
RMAR_ADR = 0.0027; RMAR_RevPar = 0.0051
The INE compiles a national directory of hotel establishments, using the registers sent by the Tourism Councils of the Autonomous Communities. This directory contains the following information for each establishment: name, address, category, opening season and number of rooms.
A stratified sampling is used, by province and category.
The information for the preparation of the IPHS is obtained from the Hotel Occupancy Survey.
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 data is not verified by the validations, it is not uploaded into the database. Lastly, a macrofiltering is performed.
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.