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Holiday Dwelling Price Index

• 1Contact
  • 1.1Contact organisation
    National Statistics Institute of Spain
    
  • 1.5Contact mail address

    Avenida de Manoteras 50-52 - 28050 Madrid

    
    
• 2Metadata update
  • 2.1Metadata last certified
    12/02/2025
  • 2.2Metadata last posted
    02/01/2025
  • 2.3Metadata last update
    12/02/2025
• 3Statistical presentation
  • 3.1Data description

    The Holiday Dwelling Price Index (HDPI) is a statistical measurement of the set of prices applied by businesspersons to the different clients staying at the holiday dwelling establishments. Therefore, it measures the evolution of the sector prices from a supply perspective.

  • 3.2Classification system
    • Tarifas de apartamentos turísticos
      AT1   Tarifa normal
      AT2   Tarifa fin de semana
      AT3   Tarifa touroperador
        .
    • Tipo de apartamento turístico
      AT1   Estudio
      AT2   Apartamentos de 2/4 plazas
      AT3   Apartamentos de 4/6 plazas
        .
  • 3.3Sector coverage

    Tourism

  • 3.4Statistical concepts and definitions
    • Flat
      This is a housing unit that includes one or more bedrooms, designed to provide complete installations for an individual or a small family.
    • Holiday dwelling prices
      These are defined as prices applied to different types of customers for occupying an apartment (for different apartment modalities: studios, 2/4 bedplace apartments, 4/6 bedplace apartments and others), as well as the percentage of application of each of the rates. The following rates are requested:
      
      ·Normal rate
      ·Weekend rate
      ·Rate for travel agencies and tour-operators
    • Normal rate
      This is the price applied from Sunday to Thursday, according to the use modality.
    • Studio
      Studio-type flats are defined as a dwelling with a single room.
    • Traditional tour operator
      An intermediary wholesale agency working between tourist establishments and retail agencies is considered to be a traditional tour operator. Tour operators prepare programmes and package holidays, and offer them to the retail agencies that sell them to the client, earning a commission for this.
      A traditional tour operator is considered to be that which does not exclusively use the Internet to commercialise its products, but it might use the Internet in order to commercialise part, or to perform the paperwork necessary in its intermediation tasks, and even with the hotel establishment.
    • Weekend rate
      This is the price applied on Friday or Saturday, for a single day, according to the use modality.
  • 3.5Statistical unit

    The units of analysis are those holiday dwelling establishments/companies registered as such in the corresponding Tourist Boards of each Autonomous Community.

  • 3.6Statistical population

    All establishments and/or companies operating holiday dwellings throughout the country are researched.
    This is with the exception of Ceuta and Melilla, where there are no establishments of this type.

  • 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

  • 3.8Time coverage

    Since January 2003 (index and annual variation rate)

  • 3.9Base period

    The base year is 2002 being 100 the value of all monthly indices for that year

• 4Unit of measure
  • 4.1Unit of measure

    Index, Rates, Percentage

• 5Reference period
  • 5.1Reference period

    Month

    Data referred to the period: Mensual A: 2024 MES: 11

• 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 statistical operation is not subject to any European Regulations

  • 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.
    
• 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.
    

    Indices are published only on the national level, and in general and broken down by modality and by rate. There are certain Autonomous Communities that can be published by customised request, so long as statistical secrecy is preserved. In order to provide a geographical grouping, there must be at least 3 holiday dwelling establishments/companies with data. For the information to be significant, there must be at least 4 holiday dwelling establishments/companies, 3 of which must offer data.

• 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

    
    
• 9Frequency of dissemination
  • 9.1Frequency of dissemination

    Monthly

• 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 via 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, and includes the following operations: Holiday Dwellings Occupancy Survey (HDOS), Campsite Occupancy Survey (COS), Rural Tourism Accomodation Occupancy Survey (RTOS), Hostel Occupancy Survey (HOS), Tourist Campsite Price Index (TCPI), Holiday Dwellings Price Index (HDPI) and Rural Tourism Accomodation Price Index (RTAPI).

  • 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 Holiday Dwelling Price Index is: https://www.ine.es/dynt3/inebase/en/index.htm?padre=225&dh=1 The indicator used is number of hits on the online database AC1= 3,006  AC2=702 (cumulated data til June 2024)

  • 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
    

    Microdata sets are not disseminated.

  • 10.5Other

    Moreover, customised 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, estimators, definitions, and samples. The document may be viewed at the following link: https://www.ine.es/en/daco/daco42/ipapt/notaipap_en.pdf

    AC3=100%

     

  • 10.7Quality documentation

    Fields 10.6 to 17.2 of this document may be considered the quality report intended for users for this operation.

• 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, which serves as the basis for the HDPI, 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 may be observed in the following sections, where quality indicators are gathered in detail, the HDPI presents very high quality, with data for the operation being available within a 30-day period. Total non-response is usually approximately 12% for provisional data, and 6% for final data. 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.

• 12Relevance
  • 12.1User needs

    Users are very varied: tourism board/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 information collected enables answering most of the requests received. Those that are not answered provide information that is studied for possible future modifications. 100% of the information requested by the National Statistical Plan is supplied. (R1=100%)

• 13Accuracy and reliability
  • 13.1Overall accuracy

    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.

  • 13.2Sampling error

    In order to measure the precision of this statistical operation, coefficients of variation are available for the HDPI.

    1). An approximate calculation of the sampling error can be obtained using the Jackknife technique.

    2). Analyzing the sampling errors of this survey, it should be taken into account that most of the sample is exhaustive and therefore, the sampling error is zero.

    The values of the coefficients of variation are available in the following link:

    https://www.ine.es/jaxiT3/Tabla.htm?t=8317&L=1

    In October 2024 A1=0.004

  • 13.3Non-sampling error

    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 HDOS directory, the basis of the HDPI, 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 2023 definitive data, being A4 = 7,85

• 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 (TP2=13 months). That is, in April 2024, the provisional data for March 2024 is published, as well as the final data for March 2023, and so on and so forth.

  • 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

     

    TP3=100%

• 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. This index does not follow any European Regulations, and therefore, information is not available regarding international comparability.

  • 15.2Comparability - over time

    The Holiday Dwelling Price Index (HDPI) arose in 2003, and has not changed since that time. In December 2024, the series has 262 elements. (CC2=262)

  • 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.

• 16Cost and burden
  • 16.1Cost and burden

    The estimation of the budgetary credit necessary to finance this operation , as foreseen in the 2025 Annual Program, comes to a total of 57.33 thousand Euros in the INE budget

    This estimation concerns tor the Price Indexes in Tourist Accommodations (cod. 9390 in PEN) that is formed by four statistical operation, being Holiday Dwellings Price Index 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.

• 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 98% in the final results). The final data is published the following year, that is, for example, in April 2020, the provisional data for March 2020and the final data for March 2019 are published.

  • 17.2Data revision - practice

    Each month, the provisional data for the previous month is published, as well as the final data for the previous month of the previous year. The quality indicators used are MAR, absolute average revision, and RMAR, relative average revision.

    The average annual definitive values in 2017-2018-2019-2020-2021 are:

    A6 MAR = 0.9481

    A6 RMAR = 0.3483%

• 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 category.

  • 18.2Frequency of data collection

    Monthly

  • 18.3Data collection

    The information for the preparation of the HDPI is obtained from the Holiday Dwelling Occupancy Survey.

  • 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
• 19Comment
  • 19.1Comment

    ..