Trips of EU residents - annual data (tour_dem)

National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: INE (National Statistics Institute)


Eurostat metadata
Reference metadata
1. Contact
2. Metadata update
3. Statistical presentation
4. Unit of measure
5. Reference Period
6. Institutional Mandate
7. Confidentiality
8. Release policy
9. Frequency of dissemination
10. Accessibility and clarity
11. Quality management
12. Relevance
13. Accuracy
14. Timeliness and punctuality
15. Coherence and comparability
16. Cost and Burden
17. Data revision
18. Statistical processing
19. Comment
Related Metadata
Annexes (including footnotes)
 



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1. Contact Top
1.1. Contact organisation

INE (National Statistics Institute)

1.2. Contact organisation unit

Unit of Tourism Statistics

1.5. Contact mail address

Avenida Manoteras 50-52, 28050, Madrid, Spain


2. Metadata update Top
2.1. Metadata last certified 21/09/2023
2.2. Metadata last posted 21/09/2023
2.3. Metadata last update 21/09/2023


3. Statistical presentation Top
3.1. Data description

The Residents Travel Survey is a continuous survey with the main objective being to provide monthly, quarterly and annual estimations of trips and overnight stays made by the resident population in Spain and the main characteristics such as destination (domestic and outbound), duration, purpose, accommodation, means of transport, expenditure and sociodemographic characteristics of the travellers, among others.

This survey also provides the monthly, quarterly and annual estimation of the same-day visits made ​​by residents aged 15 or over.

Each year it allows to know the behaviour of residents over 15 years old and the analysis of the reasons alleged by the population to not travel. A special module in the questionnaire is included for this purpose.

3.2. Classification system

Not applicable.

3.3. Coverage - sector

National tourism: domestic tourism and outbound tourism (trips made by residents of the reporting country).

3.4. Statistical concepts and definitions
3.4.1 Statistical concepts and definitions

See Regulation 692/2011Delegated Regulation 2019/1681 and Methodological Manual for Tourism Statistics

3.4.2 Additional comments (e.g. country-specific deviations)

Some of the main concepts used in the survey are:

  • Tourism trip: travel to a main destination outside the usual environment of the traveller, for less than a year but including at least one overninght stay, for any reason other than to be employed by a resident entity in the country or place visited.
  • Usual environment (trips): municipality (LAU2) of residence

Because of operational and methodological reasons, every trip outside the usual place of residence of the interviewee including an overnight stay and for less than a year is collected in the questionnaire. Those trips falling outside the scope of tourism (frequent trips to the place of work or study or those with the purpose to work in an entity resident in the place visited) are identified by their purpose and not taken into account in the estimation of tourism trips (not included in the microdata file sent to fulfill the regulation), as it is requested in the EU regulation 692/2011.

  • Same-day visit: journey out of the usual environment without overnight stay. In the case of same-day visits the definition of usual environment is directly applied as specified in the regulation.
  • Usual environment (same-day visits): means the geographical area, though not necessarily a contiguous one, within which an individual conducts his regular life routines and shall be determined on the basis of the following criteria: the crossing of administrative borders (municipality) or the distance from the place of usual residence, the duration of the visit (>3h in the place(s) visited), the frequency of the visit (less than once per week in a period of 6 months), the purpose of the visit. These criteria are applied as recommended in the Methodological Manual for Tourism Statistics.
  • Trip expenditure: amount paid for the acquisition of consumption goods and services, as well as valuables, for own use or to give away, for and during tourism trips. It includes expenditures by visitors themselves, as well as expenses that are paid for or reimbursed by others.
3.5. Statistical unit
3.5.1 Statistical unit 

Participation in tourism: the individual.
Tourism trips: the tourism trip with at least one overnight stay made by the individual.
Same-day visits: the SDV made by the individual.

3.5.2 Reporting unit One person in the selected household (within the age scope)
3.5.3 If other or additional comments, please specify
3.6. Statistical population
3.6.1 Statistical population

Participation in tourism: All residents aged 15 or over in main family households all over the Spanish territory

Tourism trips: All tourism trips of at least one overnight stay made outside the usual environment by the residents aged 15 or over in main family households all over the Spanish territory.

Same-day visits: All outbound SDV made outside the usual environment by the residents aged 15 or over in main family households all over the Spanish territory.

3.6.2 Additional comments (e.g. deviating coverage in terms of age groups, multiple surveys with different subpopulation, inclusion of domestic same-day visits in years where this is not compulsory)

The population subject to direct observation is the population aged 15 years or over resident in main family households all over the Spanish territory.

Nevertheless, indirect information is gathered about persons under the age of 15 that allow to make estimations of the trips made for the whole resident population: number of household members under 15 years old participating in the trip is collected for each trip. Trips made by people under 15 years old with a household member (Th) can then be estimated as well as their main characteristics. The sociodemographic profile of the visitor under 15 is not investigated.

Besides, every household reports the number of trips made by their members under 15 without the participation of any adult (15 or over) of the household (Ta). This information completes the number of trips of the population under 15 years old. Aggregated tables on the number and type of trips are calculated assuming that these last type of trips (Ta) are mainly of the same nature of those made with other household member (Th). Inflation factors are calculated at cell level and applied to every trip in which a household member under 15 had participated.

It is noted that the data sent to Eurostat refer only to the population aged 15 years or older. Due to the estimation process applied to the trips made by the population under 15 years old, no microdata file is available to be sent.

Information on same-day visits and on participation in tourism is collected only for resident population aged 15 or over.

As it was detailed in section 3.4.2, because of operational and methodological reasons, every trip outside the usual place of residence of the interviewee including an overnight stay and for less than a year is collected in the questionnaire. That includes trips that could be classified as trips made in the usual environment (frequent trips to the place of work or study or those with the purpose to work in an entity resident in the place visited). Nevertheless those trips falling outside the scope of tourism are identified by their purpose and not taken into account in the estimation of tourism trips (not included in the microdata file sent to fulfill the regulation), as it is requested in the EU regulation 692/2011.

Finally it is noted that domestic same-day visits have been collected and processed for the reference year 2017, but no information has been sent to Eurostat according to the regulation 692/2011.

3.7. Reference area

The sample is collected over the whole national territory.

Quarterly information disseminated is classified by the 17 autonomous communities and 2 autonomous cities (NUTS 2) of origin and destination.

3.8. Coverage - Time

Coverage - Time [data comparable since (YYYY)]

3.8.1 Participation in tourism (Year)

2015

3.8.2 Tourism trips (Year)

2015

3.8.3 Same-day visits (outbound) (Year)

2015

3.8.4 Same-day visits (domestic) (Year)

2015

3.8.5 Additional comments (e.g. longer series for subgroups)

Information available from 2015 (a methodological revision of the survey was carried out with 2015 as the first year of reference). Data obtained with the previous survey methodology (FAMILITUR) can be checked at the TURESPAÑA website (https://aplicaciones.tourspain.es/DatosHistoricos/DatosHistoricos/Familitur) and at the tourism site of Eurostat.

3.9. Base period

Not applicable.


4. Unit of measure Top

Not applicable.


5. Reference Period Top

2022


6. Institutional Mandate Top
6.1. Institutional Mandate - legal acts and other agreements
6.1.1 European level

Regulation 692/2011

Regulation 1051/2011

Delegated Regulation 2019/1681

6.1.2 National level

This statistical operation is included in the Spanish National Statistics Plan 2021-2024.

6.2. Institutional Mandate - data sharing

The exchanges of information needed to elaborate statistics between the INE and the rest of the State statistical offices (Ministerial Departments, independent bodies and administrative bodies depending on the State General Administration), or between these offices and the Autonomic statistical offices, are regulated in the LFEP (Law of the Public Statistic Function). This law also regulates the mechanisms of statistical coordination, and concludes cooperation agreements between the different offices when necessary.

In the framework of the agreement for the transfer of the responsability of this operation from TURESPAÑA to INE, a clause is included regulating the exchange of information.


7. Confidentiality Top
7.1. Confidentiality - policy

The confidentiality policy is regulated by the following legislation:

  • The Statistical Law No. 12/1989 "Public Statistical Function" of May 9, 1989, specifies that the INE cannot publish, or make otherwise available, individual data or statistics that would enable the identification of data for any individual person or entity
  • Regulation (EC) No 223/2009 on European statistics, stipulates the need to establish common principles and guidelines ensuring the confidentiality of data used for the production of European statistics and the access to those confidential data with due account for technical developments and the requirements of users in a democratic society
7.2. Confidentiality - data treatment

Some of the measures taken to preserve the data confidentiality are:

  • The National Statistics Institute takes all the necessary logical, physical and administrative measures to ensure the data protection in all the stages of the statistical process.
  • Microdata files provided to users are anonymized by excluding identification information and by aggregating categories of certain variables to prevent indirect identification.
  • Only aggregated data are published. The results tables published are analysed to avoid that private information could be deduced from them.
  • Data allowing direct identification are kept just while they are necessary to guarantee the quality of the processes.


8. Release policy Top
8.1. Release calendar

The advance release calendar that shows the precise release dates for the coming year is disseminated in the last quarter of each year.

Approximately the information of one quarter is disseminated 88 days after the end of this period.

8.2. Release calendar access

The calendar is disseminated on the INEs Internet website (http://www.ine.es/en/daco/daco41/calen_en.htm)

8.3. Release policy - user access

The data are released simultaneously according to the advance release calendar to all interested parties by issuing the press release. At the same time, the data are posted on the INE's website (http://www.ine.es/en/welcome.shtml). 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 (https://ec.europa.eu/eurostat/documents/4031688/8971242/KS-02-18-142-EN-N.pdf/e7f85f07-91db-4312-8118-f729c75878c7)


9. Frequency of dissemination Top

The frequency of dissemination is quarterly, including separate reference to the three months of the quarter.


10. Accessibility and clarity Top
10.1. Dissemination format - News release

Press releases for the Residents Travel Survey are disseminated according to the publishing schedule of the INE and are available in the following link: https://www.ine.es/dyngs/Prensa/en/notasPrensa.htm

These releases are divided in three parts:

  • In the first part, most important and significant results of the survey (such as trips or expenditure classified by reason or destination) are detailed. The data are presented using text, tables and charts.
  • The second part is a brief methodology description of the survey.
  • The last part is a series of tables completing the information given in the first part.
10.2. Dissemination format - Publications

Tourism data are used in several publications. The link to the regular publications is: http://www.ine.es/ss/Satellite?L=en_GB&c=Page&cid=1254735110606&p=1254735110606&pagename=ProductosYServicios%2FPYSLayout

10.3. Dissemination format - online database

The online database for the Residents Travel Survey is in the following link: http://www.ine.es/dyngs/INEbase/en/operacion.htm?c=Estadistica_C&cid=1254736176990&menu=ultiDatos&idp=1254735576863.

There, 4 different databases can be found: one for monthly data, one for quarterly data, one for annual data and an advanced query system.

Monthly database allows to build 5 tables with information like number of trips or expenditure, disaggregated by different variables. Also the sampling error for these estimations is provided.

Quarterly and annual databases provide more information allowing to build 23 tables with national information on trips, same-day visits, expenditure and stages, and 6 tables on trips and same-day visits disaggregated by autonomous community of residence.

Finally the advanced query system allows the user to build monthly and annual tables disaggregating the information with several variables selected as desired.

10.4. Dissemination format - microdata access

Microdatafiles are available for the users in csv format from February 2015 onwards. In these files some categories have been added in order to prevent the indirect identification of the interviewees. These microdata files can be downloaded from the following link:

http://www.ine.es/dyngs/INEbase/en/operacion.htm?c=Estadistica_C&cid=1254736176990&menu=resultados&secc=1254736195369&idp=1254735576863.

10.5. Dissemination format - other

Users can request customised information from the INE Customer Service Area. Limitations to confidentiality or precision are borne in mind at the time of processing said requests. The information for these requests is in the next link:

http://www.ine.es/ss/Satellite?L=1&c=Page&cid=1254735550786&p=1254735550786&pagename=ProductosYServicios%2FPYSLayout&rendermode=previewnoinsitem.

10.6. Documentation on methodology

The survey methodology, the transcription of the electronic questionnaire and a guide for the handling of the micro-data files are attached in English and Spanish versions.



Annexes:
Survey methodology (English version)
Survey methodology (Spanish version)
Survey questionnaire (English version)
Survey questionnaire (Spanish version)
Microdata user guide (English version)
Microdata user guide (Spanish version)
10.7. Quality management - documentation

A standardised methodological report related to the Residents Travel Survey can be checked at the INE website, with information about quality, relevance, confidentiality, dissemination policy, accuracy, reliability, timeliness, punctuality, comparibility, coherence,...

The link to this report is: http://www.ine.es/dynt3/metadatos/en/RespuestaDatos.htm?oe=16023


11. Quality management Top
11.1. Quality assurance

Quality assurance framework for the INE statistics is based on the ESSCoP, the European Statistics Code of Practice made by EUROSTAT. The ESSCoP is made up of 15 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 concepts used in this survey are consistent with the International Recommendations of the World Tourism Organization from 2008 and what is established in the Regulations No 692/2011 and No 1051/2011 in relation with European statistics on tourism. Internationally recognised good practices have been implemented in the production process like for example the use of another survey as the framework to select the samples or the limitation of the number of trips thoroughly investigated in each questionnaire.

The electronic survey includes a series of controls in order to guarantee a certain level of coherence in the information gathered which, subsequently, is subject to a microediting process. Furthermore, throughout the collection of information, inspections are carried out on behalf of the supervisors of each collection unit.

The data processing includes several processes to improve the data quality such as outlier detection and treatment, memory effect correction, or expenditure modelling. Also in the computation of the raising factors, lack of response and calibration techniques are applied with the aim to guarantee the coherence of the different statistical sources of information as well as to reduce possible bias.

11.2. Quality management - assessment
11.2.1 Main strengths

The overall assessment of the data is good. Non response is an issue which affects most household surveys, but in this case non-response rates both at unit or item level are under the average of similar surveys conducted by the NSI. The population frame is continuously updated and has a good coverage. Quarterly data are disseminated before the end of the next quarter and quite detailed microdata files are publicly available on the website the same day of the publication allowing the expert users to do their own analysis and modelling.

11.2.2 Main weaknesses

The main difficulty this kind of surveys have to deal with is the lack of efficiency of the samples: only a percentage of the population makes tourism trips, this percentage depending on the country (region) and the time of the year. Thus, to obtain a good sample of trips (which are the last observation unit), much bigger samples of people are needed, with the subsequent costs. As an example, in 2017 in the Spanish survey, approximately the 24% of the sample have travelled during the period of reference (the two previous months).

To deal with this problem, as the population frame for the Resident Travel Survey comes from the Continous Household Survey, it is used the additional information provided by this survey to assign to every household a propensity score to travel calculated through a logistic regression model including information on the members of the household, the household itself and other characteristics of the neighbourhood. Thus, more prone to travel households are sampled, increasing the trips sample and descreasing the estimation variance. It is stated that the weighting factors are processed in order not to introduce bias in the estimations due to the use of this procedure.

11.2.3 Quality improvements compared with previous reference year

Editing and imputation programs have been optimized in order to reduce the survey processing time.


12. Relevance Top
12.1. Relevance - User Needs
12.1.1 European level

See: Regulation 692/2011

12.1.2 Main users on a national level

The main users are the administration organisms with tourist expertise both nationally and on an autonomous or municipal scale, as well as the statistical institutes or offices of the autonomous communities. Also the national accounts department in the National Statistics Institute and the Bank of Spain use the survey data to compile their outputs. Among the main operators of the private sector there is also a great interest in the national tourist behaviour.

12.2. Relevance - User Satisfaction

The INE has carried out general user satisfaction surveys in 2007, 2010, 2013, 2016 and 2019 and it plans to continue doing so every three years. The purpose of these surveys is to find out what users think about the quality of the information of the INE statistics and the extent to which their needs of information are covered. In addition, additional surveys are carried out in order to acknowledge better other fields such as dissemination of the information, quality of some publications...

On the INE website, in its section Quality and Best Practices are available surveys conducted up to date. (http://www.ine.es/ss/Satellite?c=Page&pagename=MetodologiaYEstandares%2FINELayout&cid=1259944133654&L=1)

It is noted that the opinion and the needs of the main users have been taken into account throughout the methodological revision process of this survey carried out in 2015.

12.3. Completeness
12.3.1 Completeness

Compliant with the requirements of Regulation on tourism statistics 692/2011, Delegated Regulation 2019/1681, as well as recommendations laid down in the Methodological Manual for tourism statistics.

12.3.2 If not, please specify why and list deviations from Reg.


13. Accuracy Top
13.1. Accuracy - overall

The main sources of error for this survey are:

  • Non-response: This includes the unit non-response rate as much as the item rate (focused on the expenditure variables). Non-response rates can be checked in the 13.3 section. To mitigate this problem, non-response correctors and an expenditure variables modelling have been included in the data processing.
  • Measurement errors: Real-time validation controls and data microediting are some of the measures to reduce these errors.
  • Memory errors: Two types of effects are detected in relation to memory errors: telescopic effect (the informant moves unconsciously to the reference period trips made out of this period) and memory effect (the informant forgets trips made in the reference period). These effects are carefully analyzed every month to correct them when necessary.
  • Bias errors: The application of callibration techniques allows the correction of the biases that can be presented when persons of groups that are easier to locate and, therefore, with less tendency to travel, are interviewed. The survey design is also aimed at reducing these biases when choosing with a higher likelihood, people with more tendency to travel.
13.2. Sampling error

13.2.1 Sampling errors - indicators

Information on Sampling errors may also be provided in the attached file.  Estimated value Coefficient of variation
13.2.1.1 Participation in tourism for personal purposes: number of residents, aged 15 or over, having made at least 1 trip of at least 1 overnight stay (all age groups)

26427605

0.96

13.2.1.2 Participation in tourism for personal purposes: number of residents, aged 65 or over, having made at least 1 trip of at least 1 overnight stay

2959404

3.18

13.2.1.3 Tourism trips - Total number of trips

138191592

1.52

13.2.1.4 Domestic trips

124602722

1.62

13.2.1.5 Outbound trips

13588870

2.67

13.2.1.6 Private/Personal trips

131651380

1.56

13.2.1.7 Professional/business trips

6540212

4.98

13.2.1.8 Domestic trips spent at rented accommodation

46519094

1.73

13.2.1.9 Domestic trips spent at non-rented accommodation

78083628

2.22

13.2.1.10 Tourism trips - Total expenditure excluding durables and valuable goods

43417322122

1.49

13.2.1.11 Expenditure on accommodation

12220089275

1.75


13.2.2 Additional comments on sampling error

The coefficients of variation have been computed using Jackknife techniques





 

13.3. Non-sampling error

13.3.1 Coverage errors

13.3.1.1 Over-coverage

For this survey a sample of Georeferenced Address Framework (MDG) is selected every six months.

13.3.1.2 Under-coverage

For this survey a sample of Georeferenced Address Framework (MDG) is selected every six months.


13.3.2 Unit non-response for TRIPS dataset

  Unit non-response
13.3.2.1 Number of ineligible units/ elements

7245

13.3.2.2 Number of eligible units/elements

149555

13.3.2.3 Number of non-contacts

53076

13.3.2.4 Number of refusals

2968

13.3.2.5 Number of rejected questionnaires

8

13.3.2.6 Number of other types of non-response

2505

13.3.2.7 Total non-response (= sum of 13.3.2.3 to 13.3.2.6)

58557


13.3.3 Unit non-response rate

13.3.3.1 Unit non-response rate for TRIPS dataset (= 13.3.2.7 divided by 13.3.2.2)

39,15%

13.3.3.2 Unit non-response rate for PARTIC dataset

50,12%

13.3.3.3 Unit non-response rate for SDVOUT dataset

35,75%

13.3.3.4 Methods used for dealing with/minimising unit non-response

Methods used for minimising unit non-response: Interviewees are called several times in order to reduce the non-response rate. If the person cannot perform the interview when he is contacted, an appointment is fixed for another day which suits to the interviewee better. In addition, those interviewees not contacted in the first interview are visited by survey agents in order to perform the interview by CAPI and collect the phone for successive interviews. The CAWI method allows the respondent to answer the questionnaire in a different schedule.

Methods used for dealing with unit non-response: Calibration techniques are applied during the processing data in order to reduce the bias introduced by the non-response.


13.3.4 Item non-response

13.3.4.1 Item non-response

Regarding the item-response, the electronic questionnaire only allows the expenditure variables to be left empty (non-response). The non-response rates for some of these items are:

  • Expenditure on package tour: 12.85%
  • Expenditure on transport: 17.29%
  • Expenditure on accommodation: 16.53%. In this case, it has been stated that if trips at company's expense and trips for medical purposes (not easy to estimate the price of one hospital bed) are removed, the non-response rates decrease to 14.43%
  • Expenditure in cafes and restaurants: 12.08%
  • Expenditure on durable and valuable goods: 33.60%
  • Expenditure on leisure activities: 13.43%

 

The percentage of informants that provide all the expenditure amounts is 81.29%.

13.3.4.2 Methods used for dealing with/minimising item non-response

Non-response is imputed by means of the use of a model for the expenditure. Depending on the type of expenditure (accommodation, transport, etc.) a regression model or a moving average at cell level is applied to impute a value for each register.


13.3.5 Additional comments on non-sampling error 

- Coverage errors:

For this survey a sample of Georeferenced Address Framework (MDG) is selected every six months.

During the whole statistical process of the

For this survey a sample of Georeferenced Address Framework (MDG) is selected every six months.

, this frame is enough to reach the theoretical sample size and allocation of the RTS.

- Measuring errors: This kind of errors are mitigated with the next measures among others:

  • Training of all the interviewers in aspects related with the survey
  • Inclusion of real time validation controls in the electronic questionnaire
  • Microediting of all the data collected
  • Detection and processing of outliers

- Imputation rate: Next it is shown the imputation rate for some of the variables delievered:

  • Duration of the trip in number of nights (0.56%)
  • Expenditure on transport (22.49%)
  • Expenditure on accommodation (12.05%)
  • Expenditure in cafes and restaurants (14.39%)
  • Other expenditure (19.25%)
  • Expenditure on durables and valuable goods (2.98%)

The expenditure variables are considered as imputed when any of these cases take place:

  • The informant does not provide the information
  • The trip is not selected to give additional characteristics like the expenditure information (just some of them are selected)
  • The data provided is an outlier
  • The tourist hired a package trip including the type of expenditure in question

The duration of the trip is imputed when the information provided is an outlier.


(in case of second survey please briefly describe 13.3.1-13.3.4 here)


14. Timeliness and punctuality Top
14.1. Timeliness
14.1.1 Participation in tourism

178

14.1.2 Tourism trips

87

14.1.3 Same-day visits (outbound)

87

14.2. Punctuality
14.2.1 Participation in tourism

-22

14.2.2 Tourism trips

-22

14.2.3 Same-day visits (outbound)

-22


15. Coherence and comparability Top
15.1. Comparability - geographical

The geographical comparability is guaranteed by the availability of a methodology, survey design and common statistical processing of collection, editing and weighting for the whole national territory.

On the other hand, the comparability with the rest of the EU countries is guaranteed by complying with the EU regulation No 692/2011 in relation with European tourism statistics.

15.2. Comparability - over time
15.2.1 Participation in tourism

Since February 2015 this survey is under the responsability of the National Statistics Institute (before it was developed by the Spanish Tourism Institute, TurEspaña). A methodological revision was carried out at the same time, so there is a break in series in 2015.

15.2.2 Tourism trips

Since February 2015 this survey is under the responsibility of the National Statistics Institute (before it was developed by the Spanish Tourism Institute, TurEspaña). A methodological revision was carried out at the same time, so there is a break in series in 2015. This issue has been managed estimating and publishing annual variation rates for the main magnitudes (trips, overnight stays, average duration of the trips, total expenditure, average expenditure per person and average daily expenditure per person). These annual rates have been estimated for the months and quarters of 2015, as well as for the whole year, and are referred to the whole population and to all kind of trips, including those which could be classified as made in the usual environment (check section 3.6.2).

15.2.3 Same-day visits (outbound)

Since February 2015 this survey is under the responsability of the National Statistics Institute (before it was developed by the Spanish Tourism Institute, TurEspaña). A methodological revision was carried out at the same time, so there is a break in series in 2015. This issue has been managed estimating and publishing annual variation rates for the same-day visits. These annual rates have been estimated for the months and quarters of 2015, as well as for the whole year.

15.3. Coherence - cross domain

The Occupancy in Tourist Accommodation Surveys provide information about the residents that spend a night in regulated market accommodation. The information available in the said surveys has been used, to the greatest possible extent, and after making the necessary adjustments, as supplementary information in the calibration of the weights improving the coherence of results.

In addition, the official population figures by sex, age, and province (estimated from the census) and the population by level of education (provided by the Economically Active Population Survey) were used to calibrate the survey, and get more accurate raising factors.

On the other hand, the basic concepts and definitions will be those of the Continual Household Survey, that are adapted to the current community regulations and other international recommendations on population statistics. These are also the references for tourism statistics, together with the Balance of Payments Manual, also essentially consistent with the said definitions. The INE standards, consistent with the European Core Social Variables Project, have likewise been respected in relation with the relative variables for the composition of the household, gender, nationality and country of birth.

15.4. Coherence - internal

The estimates have complete internal coherence.


16. Cost and Burden Top

Cost and burden are not systematically collected.


17. Data revision Top
17.1. Data revision - policy

A systematic revision of the published information is not programmed.

17.2. Data revision - practice

Some errors ocurred during data processing have been ammended when detected and the revisions properly announced to the users.


18. Statistical processing Top
18.1. Source data

18.1.1. Source data

18.1.1.1 Source data

Survey

18.1.1.2 Name of data collection in national language

Encuesta de turismo de residentes

18.1.1.3 Name of data collection in English

Residents Travel Survey

18.1.1.4 Survey vehicle Stand-alone survey
18.1.1.5 If "Embedded in another survey", please indicate which other survey. In case both options were ticked, please describe here separately the approach for PARTIC, TRIPS, SDVOUT


18.1.2. Population frame

18.1.2.1 Population frame List of households participating in survey
18.1.2.2 Update of population frame Other frequency
18.1.2.3 If other frequency or additional comments, please specify

Every six months

The sampling frame is the list of households from the Georeferenced Address Framework (MDG).

18.1.2.4 Coverage errors of population frame

During the whole statistical process of the CHS, a control process is carried out of non-sampling errors, with an application to manage the information that includes a control system of the coverage of what is received via the different collection and incidence monitoring channels.

The non reponse in the CHS, due to refusals and non contacts is approximately 15% of the selected households. Nevertheless, this frame is enough to reach the theoretical sample size and allocation of the RTS. Previously to the selection of the sample a study with the CHS by strata is made.


18.1.3. Gross sample size (year, individuals)

18.1.3.1 Gross sample size for trips (= 13.3.2.1 + 13.3.2.2)

156800

18.1.3.2 Gross sample size for participation in tourism

31192

18.1.3.3 Gross sample size for (outbound) same-day visits

144558

18.1.3.4 Additional comments


18.1.4. Net sample size (year, individuals)

18.1.4.1 Net sample size for trips (= 13.3.2.2 – 13.3.2.7)

90998

18.1.4.2 Net sample size for participation in tourism

13309

18.1.4.3 Net sample size for (outbound) same-day visits

84447

18.1.4.4 Additional comments


18.1.5. Sampling design

18.1.5.1 Sampling design Stratified sampling
Random sampling
Other
18.1.5.2 If other or additional comments (also when more than one options is chosen in 18.1.5.1), please specify. Links to national methodology documentation can also be inserted here.

The sampling frame is the list of households from the Georeferenced Address Framework (MDG). This frame is updated every six months.

This enables to:

  1. Improve the efficiency of the sampling design: a logistic regression model is used to assign a propensity score to the households in the frame trying to approximate their probability of travelling. This model considers the characteristics of the households and household members previously collected in the CHS, which allows the sub-sample of the Residents Travel Survey (RTS) to be stratified.
  2. Have the phone numbers of the households to be able to conduct CATI interviews.
  3. Improve the methods of correction of non-response.

The sampling design of the RTS is a three-stage stratified random sampling. 

The first stage units are the census sections, the second stage units are the dwellings, and a  person aged 15 or over has been selected within each dwelling. The stratification criterion in the first stage was the size of the municipality to which the section belongs. In both cases, a variable is used as a substratification criterion to define the household's propensity to travel.
The selected persons collaborate three times in alternate months over six months, leave the sample one semester, and are interviewed another three times during the following semester.

Every household is interviewed three months along 6 months, in alternate months, leaves the sample other six months and is interviewed again three other times.

More information is available in the survey methodology: http://www.ine.es/en/daco/daco42/etr/etr_metodologia_en.pdf


18.1.6. Second survey or source

18.2. Frequency of data collection
18.2.1 Frequency of data collection Monthly
18.2.2 Other frequency or additional comments

Data is collected on a monthly basis. Surveys are concentrated on the first weeks of the month, but surveys continue throughout the whole month.

18.3. Data collection

18.3.1. Type of survey

Household survey


18.3.2. Data collection methods

18.3.2.1 Data collection methods CAPI face-to-face (computer-assisted personal interview)
CATI (computer-assisted telephone interview)
CAWI (computer-assisted web interview)
18.3.2.2 If other or additional comments, please specify. In case a combination of data collection methods is used, please give an indication of the importance of the different methods (in terms of number of respondents) 

Most of interviews are conducted by telephone (CATI) except for those persons not contacted in first interview that will be interviewed in person (CAPI). The interviewees can decide if they want to answer the questionnaire by computer (CAWI) except in the first interview.

18.3.2.3 Questionnaire in national language (Annex/Link)

See annexes

18.3.2.4 Questionnaire in English (Annex/Link)

See annexes

18.3.2.5 Interviewer instructions in English (Annex/Link)

Not available (Spanish version in annex)


18.3.3. Proxy interviews

18.3.3.1 Proxy interviews Only in exceptional cases
18.3.3.2 If "Allowed" or "Only in exceptional cases", please indicate for which variables in particular proxy interviews were used (it not all questions); If 4. "Not applicable", please explain why.

Allowed when the survey respondent is under 18 years old or when he has some kind of disability


18.3.4. Average interview time (The average interview time is X minutes.)

18.3.4.1 Average interview time

10

18.3.4.2 Average interview time for respondents that reported trips

10-15


18.3.5 Second survey or source



Annexes:
ETR questionnaire (English version)
ETR questionnaire (Spanish version)
Interviewer manual (Spanish version)
18.4. Data validation
18.4.1 Data validation

Throughout the data collection process, the personnel in charge of this task carry out inspections of the interviews conducted. The electronic survey includes automatic coherence controls for the information, which, subsequently, is subject to a centralised validating and editing process.

18.4.2 Second survey or source (In case a second survey or source is used for collecting data on participation, trips or same-day visits, please briefly describe 18.4.1 here in relation to those surveys/sources)
18.5. Data compilation
18.5.1 Data compilation

A series of processes are applied to the validated data that allow the improvement in the quality of data. These processes are the following:

  • Detection and treatment of outliers
  • Imputation of uncollected variables in trips not selected for their thorough investigation
  • Memory effect analysis and correction
  • Computation of raising factors
  • Computation of coefficients to estimate results for the whole population (It is noted that just persons aged 15 or over are interviewed, and the travel information on minors is asked to them)
  • Calibration of the raising factors
  • Expenditure variables modelling

These processes are thoroughly described in the methodology of the survey: http://www.ine.es/en/daco/daco42/etr/etr_metodologia_en.pdf

18.5.2 Second survey or source (In case a second survey or source is used for collecting data on participation, trips or same-day visits, please briefly describe 18.5.1 here in relation to those surveys/sources)
18.6. Adjustment

No seasonal adjustments of any kind are made.


19. Comment Top

Exceptionally, press releases have included additional chapters to better understand the pandemic effects.


Related metadata Top


Annexes Top
ETR Questionnaire (English version)
ETR Questionnaire (Spanish version)
Interviewer manual (Spanish version)