Trips of EU residents - annual data (tour_dem)

National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: Statistics Lithuania. State Data Agency


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

Statistics Lithuania. State Data Agency
1.2. Contact organisation unit

Transport and Tourism Statistics Division
1.5. Contact mail address

29 Gedimino Ave, LT-01500 Vilnius, Lithuania


2. Metadata update Top
2.1. Metadata last certified 06/09/2023
2.2. Metadata last posted 06/09/2023
2.3. Metadata last update 06/09/2023


3. Statistical presentation Top
3.1. Data description

The Survey on Tourism Travels of Lithuanian Population covers trips in the country and abroad, for both business and private reason. The purpose of the survey is to find out why, where, when, for how long and by what means people travel, and how much money they spend. With this survey data regarding same-day visits are also collected.
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 692/2011, Delegated Regulation 2019/1681 and Methodological Manual for Tourism Statistics
3.4.2 Additional comments (e.g. country-specific deviations)
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 Each 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.

Tourism trips: All tourism trips of at least one overnight stay made outside the usual environment by the residents aged 15 or over

Same-day visits: All outbound SDV made outside the usual environment by the residents aged 15 or over [reference year 2022: outbound SDV].
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)
3.7. Reference area

Entire territory of Lithuania is included.
3.8. Coverage - Time

Coverage - Time [data comparable since (YYYY)]

3.8.1 Participation in tourism (Year)

2005
3.8.2 Tourism trips (Year)

2005
3.8.3 Same-day visits (outbound) (Year)

2005
3.8.4 Same-day visits (domestic) (Year)

2005
3.8.5 Additional comments (e.g. longer series for subgroups)
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
6.2. Institutional Mandate - data sharing

Not applicable.


7. Confidentiality Top
7.1. Confidentiality - policy

Republic of Lithuania Law on Official Statistics and State Data Governance;

Republic of Lithuania Law on Official Statistics and State Data Governance; Regulation (EC) No 223/2009 of the European Parliament and of the Council of 11 March 2009 on European statistics and repealing Regulation (EC, Euratom) No 1101/2008 of the European Parliament and of the Council on the transmission of data subject to statistical confidentiality to the Statistical Office of the European Communities, Council Regulation (EC) No 322/97 on Community Statistics, and Council Decision 89/382/EEC, Euratom establishing a Committee on the Statistical Programmes of the European Communities.
7.2. Confidentiality - data treatment

In order to protect individuals privacy, only aggregated data are published (observation units are not recognizable either directly or indirectly). Statistical Disclosure Control Manual, approved by Order No DĮ-26 of 19 January 2024 of the Director General of Statistics Lithuania;


8. Release policy Top
8.1. Release calendar

The calendar of statistical release dates is publicly accessible. 
8.2. Release calendar access

https://osp.stat.gov.lt/informacijos-skelbimo-kalendoriai
8.3. Release policy - user access

Domestic and outbound tourism statistics are disseminated on website. All users are treated equitably.


9. Frequency of dissemination Top

Not applicable.


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

Press releases - OSP: https://osp.stat.gov.lt/informaciniai-pranesimai
10.2. Dissemination format - Publications

Not applicable.
10.3. Dissemination format - online database

Free data on-line: https://osp.stat.gov.lt/statistiniu-rodikliu-analize#/
10.4. Dissemination format - microdata access

Not available - microdata is considered as confidential.
10.5. Dissemination format - other

Not available.
10.6. Documentation on methodology

Methodology in Lithuanian: https://osp.stat.gov.lt/turizmas
10.7. Quality management - documentation

https://osp.stat.gov.lt/turizmas


11. Quality management Top
11.1. Quality assurance

The quality of statistical information and its production process is ensured by the provisions of the European Statistics Code of Practice. In 2007, a quality management system, conforming to the requirements of the international quality management system standard ISO 9001, was introduced at Statistics Lithuania.
11.2. Quality management - assessment
11.2.1 Main strengths

Overall data quality is good. Coefficients of variation for main indicators are low. Data and metadata are easily accessible to users. 
11.2.2 Main weaknesses

The main quality deficiencies are relatively high coefficients of variation on data subsets (i.e. on regional level) due to smaller sample sizes. Further, a problem is the relatively high proportion of missing data for the expenditure items. Statistical data are compared to a previous reference  year.

Sampling error is relatively small for main variables (cv = 1, or < 1 for variable of number of tourists), but larger for more detailed variables, for example: trips by country, expenditure breakdown by expenditure category.

The non-response (available by reasons) amounts to 20.4% (respondents refusal; lives at the indicated address, but at the time of the survey was temporarily absent (for example: respondents in the hospital, not found at home) and other similar reasons).
11.2.3 Quality improvements compared with previous reference year

Overall data quality is good, when statistical data are compared with previous reference year.


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 of statistical information are State and municipal authorities and agencies, international organisations, the media, research and business communities, students, whose needs are satisfied without a breach of the confidentiality principle. The main users of statistical tourism information are Central Bank of the Republic of Lithuania.
12.2. Relevance - User Satisfaction

From 2005, user opinion surveys have been conducted on a regular basis. Official Statistics Portal traffic is monitored, website visitor opinion polls, general opinion poll on the products and services of Statistics Lithuania, target user group opinion polls and other surveys are conducted. In 2007, the compilation of a user satisfaction index was launched. The said surveys are aimed at the assessment of the overall demand for and necessity of statistical information in general and specific statistical indicators in particular.
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

Sometimes respondents do not remember all expenditure made during the trip and they are not always prepared to reveal this information.

Sampling error is relatively small for main variables (cv = 1, or < 1 for variable of number of tourist), but larger for more detailed variables, for example: trips by country,  expenditure breakdown by expenditure category.

The non-response (available by reasons) amounts to 20.4 % (respondents refusal; lives at the indicated address, but at the time of the survey was temporarily absent (for example: respondents in the hospital, not found at home) and other similar reasons).
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)

1,239,354

1.26%
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

136,931

2,62%
13.2.1.3 Tourism trips - Total number of trips

5,514,436

0.35%
13.2.1.4 Domestic trips

3,595,009

0.25%
13.2.1.5 Outbound trips

1,919,427

0.85%
13.2.1.6 Private/Personal trips

4,637,125

0.37%
13.2.1.7 Professional/business trips

877,311

0.96%
13.2.1.8 Domestic trips spent at rented accommodation

2,553,693

0.30%
13.2.1.9 Domestic trips spent at non-rented accommodation

1,041,316

0.47%
13.2.1.10 Tourism trips - Total expenditure excluding durables and valuable goods

1,329,596,493 EUR

1.12%
13.2.1.11 Expenditure on accommodation

539,724,074 EUR

1.28%


13.2.2 Additional comments on sampling error

SAS and CLAN software are used for sampling errors calculations.





 
13.3. Non-sampling error

13.3.1 Coverage errors

13.3.1.1 Over-coverage

Units which are not eligible for the survey and were included in the sample due to the lack of information (e.g. still registered as permanent residents in Lithuania, but now not lived, persons who died in the meantime between preparing the sample and conducting the survey, etc.).

The frame population is equivalent to the target population.
13.3.1.2 Under-coverage

Empty  units  are not included in the calculations, therefore the sample weights are recalculated, taking into account the existing population.


13.3.2 Unit non-response for TRIPS dataset

  Unit non-response
13.3.2.1 Number of ineligible units/ elements

390
13.3.2.2 Number of eligible units/elements

37,295
13.3.2.3 Number of non-contacts

0
13.3.2.4 Number of refusals

0
13.3.2.5 Number of rejected questionnaires

0
13.3.2.6 Number of other types of non-response

7,592
13.3.2.7 Total non-response (= sum of 13.3.2.3 to 13.3.2.6)

7,592


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)

0.2
13.3.3.2 Unit non-response rate for PARTIC dataset

0
13.3.3.3 Unit non-response rate for SDVOUT dataset

0
13.3.3.4 Methods used for dealing with/minimising unit non-response

Not applicable


13.3.4 Item non-response

13.3.4.1 Item non-response

Sometimes respondents do not remember all expenditure made during the trip and they are not always prepared to reveal this information. Sampling error is relatively small for main variables (cv = 1, or < 1 for variable on number of tourists), but large for more detailed variables, for example: trips by country, expenditure breakdown by expenditure items.
13.3.4.2 Methods used for dealing with/minimising item non-response

When a person responds to a separate question, missing variable is added using a logical approach to the similar record.


13.3.5 Additional comments on non-sampling error 

Imputation rate: After data validation and process of editing, the missing and some cases also inconsistent data are estimated by using the set of the imputaion methods: logical imputation method and statistical imputation methods. Donor based imputation: by using this method we insert the value, which is taken from a donor unit; average method is used, taking into account several variables parameters.


(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

85
14.1.2 Tourism trips

85
14.1.3 Same-day visits (outbound)

85
14.2. Punctuality
14.2.1 Participation in tourism

-1
14.2.2 Tourism trips

-1
14.2.3 Same-day visits (outbound)

-1


15. Coherence and comparability Top
15.1. Comparability - geographical

See 3.7 (in case of deviations for geographical coverage)

No problem regarding geographical comparability.
15.2. Comparability - over time
15.2.1 Participation in tourism

See 3.8.1

Comparable time series are available from 2005.
15.2.2 Tourism trips

See 3.8.2

Comparable time series are available from 2005.
15.2.3 Same-day visits (outbound)

See 3.8.3

Comparable time series are available from 2005.
15.3. Coherence - cross domain

Cross domain checks are made with appropriate data sources: statististical survey on accommodation services, statistical survey on tour operators and travel agencies services and border control authorities and transportation companies data. 
15.4. Coherence - internal

Not applicable.


16. Cost and Burden Top

Cost and burden are not systematically collected.


17. Data revision Top
17.1. Data revision - policy

Data are published as final and are not subject to revision. Published data may be revised for mistakes or significant improved information and changes.
17.2. Data revision - practice

Data are published as final and are not subject to revision. Published data may be revised for mistakes or significant improved information and changes.


18. Statistical processing Top
18.1. Source data

18.1.1. Source data

18.1.1.1 Source data

Survey of Lithuanian permanent residents on domestic and outbound trips
18.1.1.2 Name of data collection in national language

Gyventojų išvykimų iš gyvenamosios vietovės statistinio tyrimo anketa
18.1.1.3 Name of data collection in English

Questionnaire for the statistical survey on population departures from place of residence
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 Population register
18.1.2.2 Update of population frame Other frequency
18.1.2.3 If other frequency or additional comments, please specify

Continuously
18.1.2.4 Coverage errors of population frame

Not applicable.


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)

37,685
18.1.3.2 Gross sample size for participation in tourism

37,685
18.1.3.3 Gross sample size for (outbound) same-day visits

37,685
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)

29,703
18.1.4.2 Net sample size for participation in tourism

29,703
18.1.4.3 Net sample size for (outbound) same-day visits

29,703
18.1.4.4 Additional comments


18.1.5. Sampling design

18.1.5.1 Sampling design 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.

Considering the degree of urbanization in the regions, the target population was divided into 25 strata (five largest cities, other towns and rural areas of each county).

In each stratum, the number of units was selected based on the stratum weight and using a random sampling method.


18.1.6. Second survey or source

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

Face-to-face interview or submit statistical questionnaires electronically
18.3.2.3 Questionnaire in national language (Annex/Link)

Questionnaire for statistical survey on population departures from residence GIV-03 (Quarterly)
18.3.2.4 Questionnaire in English (Annex/Link)

Not available.
18.3.2.5 Interviewer instructions in English (Annex/Link)

Not available.


18.3.3. Proxy interviews

18.3.3.1 Proxy interviews Allowed
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.

Share of proxy interviews is not calculated.


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

18.3.4.1 Average interview time

20
18.3.4.2 Average interview time for respondents that reported trips

7


18.3.5 Second survey or source


Annexes:
Questionnaire for statistical survey on population departures from residence GIV-03 (Quarterly)
18.4. Data validation
18.4.1 Data validation

Statistical data validation requirements are laid down in the survey programing technical specification. Primary data checks are introduced for each questionnaire during the data entry. To ensure statistical data quality, primary and secondary data controls are performed. The results are compared with the previous periods.
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

Statistical data editing entry is performed, logical connection between variables is checked, the item non-response rate is estimated, weights are calibrated, grossing-up methods are used.  
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

Not applicable.


19. Comment Top

[Optional]


Related metadata Top


Annexes Top