1.1. Contact organisation
State Data Agency (Statistics Lithuania)
1.2. Contact organisation unit
Living Standard and Employment Statistics Division
1.3. Contact name
Confidential because of GDPR
1.4. Contact person function
Confidential because of GDPR
1.5. Contact mail address
29 Gedimino Ave, LT-01500 Vilnius, Lithuania
1.6. Contact email address
Confidential because of GDPR
1.7. Contact phone number
Confidential because of GDPR
1.8. Contact fax number
Confidential because of GDPR
2.1. Metadata last certified
4 January 2025
2.2. Metadata last posted
4 January 2025
2.3. Metadata last update
4 January 2025
3.1. Data description
The EU survey on the use of ICT in households and by individuals is an annual survey conducted since 2002. In Lithuania, it has been conducted since 2003.
In 2024, the survey collects data on the access to information and communication technologies (ICT), on the use of the internet, e-government and e-commerce, internet of things, as well as green ICT.
3.1.1. Survey name in national and English languages
National language: Informacinių technologijų naudojimo namų ūkiuose tyrimas
English: IT usage in households survey
Questionnaire(s) in national language(s) and the translation in English are available in the Annexes below.
Annexes:
Questionnaire in national language
Questionnaire in English
3.2. Classification system
The following common concepts and definitions apply under the Integrated European Social Statistics (IESS):
- the International Standard Classification of Education (ISCED) 2011 published in the following breakdowns: low (ISCED levels 0-2: no formal education, primary education or lower secondary education), medium (ISCED levels 3-4: upper secondary or post-secondary non-tertiary education) and high (ISCED levels 5-6: tertiary programmes which normally need a successful completion of ISCED 3 or 4, or second-stage tertiary education leading to an advanced research qualification);
- the International Standard Classification for Occupation ISCO-08 at the 2-digit level;
- the Classification of Economic Activities (NACE Rev.2-2008), at section level;
- the Common classification of territorial units for statistics (NUTS 1) – finer granularity of NUTS 2 is provided on optional basis by some Member States;
- the SCL – Geographical code list;
- information about household income is provided at lower level of detail.
Additional classifications used in the national questionnaire: Classification of territorial units for statistics.
3.3. Coverage - sector
The ICT survey in households and by individuals covers those households having at least one member in the age group 16 to 74 years old. Internet access of households refers to the percentage of households that have an internet access, so that anyone in the household could use the internet.
3.3.1. Differences in scope at national level
No deviations in scope.
3.4. Statistical concepts and definitions
The survey is collecting data of internet users, individuals who have used the internet in the three months prior to the survey.
This annual survey is used to benchmark ICT-driven developments, both by following developments for core variables over time and by looking in greater depth at other aspects at a specific point in time. While the survey initially concentrated on access and connectivity issues, its scope has subsequently been extended to cover a variety of subjects (for example, the use of internet, e-government, e-commerce, internet of things and green ICT) and socio-economic analysis (such as regional diversity, gender specificity, differences in age, education and the employment situation). The scope of the survey with respect to different technologies is also adapted to cover new product groups and means of delivering communication technologies to end-users.
For more details on the methodology applicable in each survey year, please consult the Compiler's Manual for the respective year (Methodological Manual - Information society statistics).
Deviations from standard ICT concepts: No deviations.
3.5. Statistical unit
Households and Individuals
3.6. Statistical population
In the ICT usage survey, the target population for the different statistical units is:
- individuals: all individuals aged 16 to 74;
- households: all (private) households with at least one member aged 16 to 74.
Target population composed of households and/or individuals:
- Number of households: 1400179
- Number of individuals: 2171572
3.6.1. Non-compulsory age groups
Non-compulsory age groups also included in the target population:
| No | Yes | Age scope | |
| Individuals younger than 16? | X | ||
| Individuals older than 74? | X |
3.6.2. Population not covered by the data collection
| Non-target population (the difference between the total population and the target population) |
Households | Individuals |
|---|---|---|
| Approximate number of units outside the general scope of the survey (for example individuals younger than 16 or older than 74; households with all members over 74 years old). | 156821 | 714319 |
| Estimate of the resulting percentage of under-coverage (non-covered population compared to the total country), if applicable | 0.3 |
3.7. Reference area
Entire country.
3.8. Coverage - Time
Year 2024
3.9. Base period
Not applicable
Percentages of ‘Households’ and Percentages of ‘Individuals’
For most questions the reference period is the last three months before the interview. Questions in the modules on e-government and eID refer to the 'last year' before the interview.
Deviation from this statement: No deviations.
5.1. Survey period
25 March 2024 - 01 July 2024.
6.1. Institutional Mandate - legal acts and other agreements
The legal basis for the 2024 EU survey on the use of ICT in households and by individuals is the Regulation (EU) 2019/1700 of the European Parliament and of the Council of 10 October 2019 establishing a common framework for European statistics relating to persons and households, based on data at individual level collected from samples (OJ L 261 I, 14 October 2019, p.p. 1-32), as implemented by the Commission Implementing Regulation (EU) 2023/1484 of 18 July 2023 specifying the technical items of the data set, establishing the technical formats for transmission of information and specifying the arrangements and content of the quality reports on the organisation of a sample survey in the use of information and communication technologies domain for reference year 2024 pursuant to Regulation (EU) 2019/1700 of the European Parliament and of the Council (OJ L 182, 19 July 2023 pp. 100-149) and Commission Delegated Regulation (EU) 2023/1797 of 7 July 2023 supplementing Regulation (EU) 2019/1700 of the European Parliament and of the Council by specifying the number and titles of the variables for the use of information and communication technologies statistics domain for reference year 2024 (OJ L 233, 21 September 2023, p.p. 7-23).
Complementary national legislation constituting the legal basis for the survey on the use of ICT in households and by individuals: No complementary national legislation.
6.2. Institutional Mandate - data sharing
The exchange of statistical data required for the implementation of the Official Statistics Program is defined in Article 17 of Law on Official Statistics and State Data Governance of the Republic of Lithuania.
7.1. Confidentiality - policy
In the process of statistical data collection, processing and analysis and dissemination of statistical information, Statistics Lithuania fully guarantees confidentiality of the data submitted by respondents (households, enterprises, institutions, organisations and other statistical units), as defined in the Confidentiality policy guidelines of Statistics Lithuania.
7.2. Confidentiality - data treatment
After the survey data is collected and the initial check and correction of the database is done, the data is depersonalised (names and addresses of the respondents are removed from the corrected database). Further steps (secondary editing, calculation of estimates, preparation for the transmission and dissemination) are performed with a depersonalized microdata base.
Statistical Disclosure Control Manual, approved by Order No DĮ-26 of 19 January 2024 of the Director General of Statistics Lithuania;
The State Data Governance Information System Data Security Regulations and Rules for the Secure Management of Electronic Information in the State Data Governance Information System, approved by Order No DĮ-202 of 27 August 2021 of the Director General of Statistics Lithuania.
8.1. Release calendar
Statistical information is published on the Official Statistics Portal according to the approved Official Statistics Calendar.
8.2. Release calendar access
The release calendar can be accessed on the Official Statistics Portal: Calendar.lt
8.3. Release policy - user access
Statistical information is prepared and disseminated under the principle of impartiality and objectivity, i.e. in a systematic, reliable and unbiased manner, following professional and ethical standards (the European Statistics Code of Practice), and the policies and practices followed are transparent to users and survey respondents.
All users have equal access to statistical information. All statistical information is published at the same time – at 9 a.m. on the day of publication of statistical information as indicated in the calendar on the Official Statistics Portal. Relevant statistical information is sent automatically to news subscribers.
The President and Prime Minister of the Republic of Lithuania, their advisers, the Ministers of Finance, Economy and Innovation, as well as Social Security and Labour of the Republic of Lithuania or their authorized persons, as well as, in exceptional cases, external experts and researchers have the right to receive early statistical information. The specified persons are entitled to receive statistical reports on GDP, inflation, employment and unemployment and other particularly relevant statistical reports one day prior to the publication of this statistical information on the Official Statistics Portal. Before exercising the right of early receipt of statistical information, a person shall sign an undertaking not to disseminate the statistical information received before it has been officially published.
Statistical information is published following the Official Statistics Dissemination Policy Guidelines and Statistical Information Dissemination and Communication Rules of the State Data Agency approved by Order No DĮ-208 of 08 October 2024 of the Director General of the State Data Agency.
Annual
10.1. Dissemination format - News release
Survey results are not published in a news release.
10.2. Dissemination format - Publications
Statistical information is not published in publications.
10.3. Dissemination format - online database
Statistical indicators are published in the Database of Indicators (Science and technology -> Information and communication technologies -> Information and communication technologies in households).
The page of Database of Indicators is for viewing and analyzing statistical information. For more information on the Database of Indicators, see the Database of Indicators User Guide.
10.3.1. Data tables - consultations
3557 in January-September 2024.
10.4. Dissemination format - microdata access
Statistics Lithuania may, on the basis of contracts concluded with higher education institutions or research institutes, provide statistical data to researchers of these higher education institutions and research institutes to carry out specific statistical analyses for research purposes. Statistical data are provided in accordance with the provisions specified in the Description of Procedure for Data Depersonalisation and Pseudonymisation (only in Lithuanian). More information is available on the Official Statistics Portal, in the section Data Provision.
Statistics Lithuania aiming to better satisfy the need for statistical information, provides users with opportunities to access open data sets with data on statistical observation units. More information is available on the Official Statistics Portal, in the section Open Data.
10.5. Dissemination format - other
Statistical information is published in the Eurostat‘s database.
Statistical information can also be provided on user's request (more information is available on the Official Statistics Portal, in section Services).
10.5.1. Metadata - consultations
Not available.
10.6. Documentation on methodology
Methodological documents are published on the Official Statistics Portal, section Information and Communication Technologies.
Annexes:
Survey Methodology in Lithuanian
Survey Methodology in English
10.6.1. Metadata completeness - rate
100%
Annexes:
Survey metadata 2024
10.7. Quality management - documentation
Quality of statistical information and its production process is ensured by the provisions of the European Statistics Code of Practice and ESS Quality Assurance Framework.
In 2007, a quality management system, conforming to the requirements of the international quality management system standard ISO 9001, was introduced at Statistics Lithuania. Main trends in activity of Statistics Lithuania aimed at quality management and continuous development in the institution are established in the Quality Policy.
Monitoring of the quality indicators of statistical processes and their results and self-evaluation of statistical survey managers is regularly carried out in order to identify areas which need improvement and to promptly eliminate shortcomings.
More information on assurance of quality of statistical information and its preparation is published in the Quality Management section on the Statistics Lithuania website.
11.1. Quality assurance
Quality of statistical information and its production process is ensured by the provisions of the European Statistics Code of Practice and ESS Quality Assurance Framework.
In 2007, a quality management system, conforming to the requirements of the international quality management system standard ISO 9001, was introduced at Statistics Lithuania. Main trends in activity of Statistics Lithuania aimed at quality management and continuous development in the institution are established in the Quality Policy.
Monitoring of the quality indicators of statistical processes and their results and self-evaluation of statistical survey managers is regularly carried out in order to identify areas which need improvement and to promptly eliminate shortcomings.
More information on assurance of quality of statistical information and its preparation is published in the Quality Management section on the Statistics Lithuania website.
11.2. Quality management - assessment
The quality of data is compliance with the requirements of accuracy, timeliness and punctuality, coherence and comparability.
The quality indicators of the statistical survey on the use of information technology in households monitored in accordance with the annually updated plan for measuring the performance indicators of Statistics Lithuania are presented in fields 14–17 of this metadata description.
Control of statistical data is exercised. Additional statistical data quality checks are performed at the macro level. Estimates of statistical indicators are compared with the previous period estimates. If estimates differ significantly from the previous year's estimates, reasons for these differences are sought in comparison with information from other sources (Communications Regulatory Authority, mobile operator), assessing the impact of weights and recorded values on the estimates.
12.1. Relevance - User Needs
The main users of statistical information are national public institutions and authorities, non-governmental and international organisations, the media, politicians, business and research communities as well as students.
Major share of the statistical information produced is used to set EU and national digital targets for 2030 and to measure their achievement through the Digital Economy and Society Index (DESI), which measures EU countries' progress and the European Digital Agenda. Need for additional indicators for planning and monitoring is presented by the Information Society Development Committee.
12.2. Relevance - User Satisfaction
Since 2005, user opinion surveys have been conducted on a regular basis. The 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.
More information on user opinion surveys and results thereof are published in the User Surveys section on the Statistics Lithuania website.
12.3. Completeness
All indicators and their components established by legislation are prepared.
Statistics Lithuania does not publish part of indicators (the least important or irregular); however, they are published in the Eurostat’s database.
12.3.1. Data completeness - rate
100 per cent of information produced in accordance with the Official statistics programme Part I is published. The rest of the information is accessible on user request and in the Eurostat’s database.
13.1. Accuracy - overall
The survey is conducted using a stratified sample with a simple random sample in the strata. The sample of 6 000 individuals was selected. A population sampling list used to select the sample is compiled on the basis of the Population Register.
The entire Lithuanian territory was divided into 25 non-overlapping groups – strata. Population of the 5 largest cities of Lithuania, towns and rural areas of 10 counties was divided into separate strata. The sample size in each of these strata is proportional to the population aged 16-74. If the selected person does not live at the specified address, he or she shall be removed from the sample list and replaced by another person living at that address whose birthday is closest to the survey.
Standard errors of the key parameters estimates are estimated.
The proposed model questionnaire was translated, adapted, tested by special working group for testing questionnaires and several respondents. Prepared questionnaire was legitimated by order of the Director General of Statistics Lithuania.
The manual for interviewers was prepared.
Software for interviewing, including several validation rules to prevent coherence errors, ensuring immediate correction at the moment of interviewing, was prepared and tested. Electronic questionnaire was complemented with some methodological explanations, definitions and some other helpful information and prefilled with personal data from Population register and Social insurance board database.
13.2. Sampling error
The sampling error reflects the fact that only a particular sample was surveyed rather than the entire population. It is estimated by the standard error and can be expressed by the square root of the estimate of the sampling variance . The estimation of the sampling variance should ideally take into account the sampling design (e.g. the stratification).
Estimation method(s) for the random variation of an estimator due to sampling: Taylor linearization
Tools used to estimate sampling errors: CLAN
References:
- Thomas Lumley. 2010: Complex Surveys: A Guide to Analysis Using R. Washington: John Wiley and Sons, Hoboken.;
- D. Krapavickaitė, A. Plikusas. Imčių teorijos pagrindai. Vilnius: Technika, 2005;
- Sarndal, C.-E., Swensson, B., Wretma J. (1992), Model Assisted Survey Sampling, New York: Springer – Verlag.
13.2.1. Sampling error - indicators
Precision estimates for the question "Individuals having ordered goods or services for private use over the internet in the last 12 months" (individuals who ticked 'Within the last 3 months' or 'Between 3 months and a year ago' in in the question “When did you last buy or order goods or services for private use over the internet?”):
Number of respondents (absolute value for ‘Yes’ answers): 2657
Estimated proportion (in %): 64.4
Standard error (in percentage points): 0.78
Details of the breakdowns are available in document "Standard errors – Mandatory – Optional questions_LT – 2024" in the Annexes below.
13.3. Non-sampling error
See more details on non-sampling error below.
13.3.1. Coverage error
The sampling frame was made up using the Population Register. The register is updated regularly. The sampling frame was compiled 14 days prior to the fieldwork.
The whole country is covered by the survey. ICT covers individuals aged 16-74 living in private households. Persons living in collective households and in institutions were excluded from the target population.
The calibration of sampling weights using the known values of age, sex and urban/rural place of residence enables adjustment for the under coverage of the sampling frame.
13.3.1.1. Over-coverage - rate
Persons living in the collective households and in the institutions are accessible via the frame. The list of addresses of the institutions is consulted to prevent selection of the persons living in the institutions for the survey sample. There are nearly 12 thousand persons, i.e. about 0.6 % of target population.
13.3.1.2. Common units - proportion
Not requested in the ICT survey.
13.3.2. Measurement error
- Measurement errors: Young people sometimes cannot indicate household income.
- Questionnaire design and testing: Questionnaires are tested by special testing group to ensure that the issues are understood in the same way. The e-questionnaire provides explanations, definitions, examples and some other helpful information.
- Interviewer training: In 2024 remote training of interviewers took place on 5 April. All interviewers participated, including Telephone Interview Centre interviewers, as well as supervisors (survey organisers) and specialists of the Survey Organisation Division. Brief information about the 2023 survey results with the comparison of the main results of other EU countries are presented. The 2024 survey questionnaire was displayed in the electronic survey system with all questions being discussed sequentially. The manual for the interviewers was provided, instructions and consultations were provided by phone and e-mail during the fieldwork.
- Proxy interview rates: 2.1%
Annexes:
Interviewer instructions 2024 in Lithuanian language
13.3.3. Non response error
Information about non-respondents: not available.
13.3.3.1. Unit non-response - rate
The unit non-response rate is the ratio of the number of in-scope non-respondents (= number of rejected interviews) to the number of eligible elements selected from the sampling frame.
Unit non-response rate for
- Households: not applicable
- Individuals (aged 16-74): 0.26
13.3.3.1.1. Unit non-response – sample sizes
| Number of households | Number of individuals (aged 16-74) |
Number of individuals (< 16) |
Number of individuals (> 74) |
|
|---|---|---|---|---|
| Gross sample [A] The number of households/individuals initially selected from the sampling frame (if not applicable, indicate why below the table) |
6037 | |||
| Ineligible: out-of-scope [B] For example, when a selected household is not in the target population because all members are over 75 years old or when no dwelling exists at the selected address, or a selected individual has died between the reference data of the sampling frame at the moment of the interview. |
47 | |||
| Number of eligible elements [C] Gross sample size corrected of the ineligible cases |
5990 | |||
| Net sample size or final sample [D] The net sample size (or final sample) corresponds to the number of households/individuals that can be used in the final database. |
4438 | |||
| Unit response rate [E] = [D] / [C] The unit response rate is the ratio of the number of in-scope respondents (= the number of achieved interviews or the net sample size) to the number of eligible elements selected from the sampling frame. |
0.74 |
13.3.3.1.2. Unit non-response – methods, minimization and substitution
1) Methods used for dealing with unit non-response: Weights used to reduce the impact of the rate of uneven non-participation in the survey in different strata on the survey results. In order to make the sample data proportionate to the population data, the weights of the sample plan were calibrated by group of the population in strata, age and sex.
2) Methods used for minimizing unit non-response: Advance letters were sent to the selected persons by post or e-mail. Postcard reminders were sent to the selected persons who had not filled questionnaire on 12 April. Reminders by e-mail were sent 4 times. If during the fieldwork selected person was not found for the first time interviewer must visit the selected address at least two more times.
3) Substitution permitted: No substitution are used.
4) Substitution rate (in %): 0
13.3.3.2. Item non-response - rate
Items with low response rates (observed rates in %): item G19 Household income non response 24.8% of observations (24.6% weighted).
13.3.4. Processing error
In 2024, there were none.
13.3.5. Model assumption error
Not applicable
14.1. Timeliness
Date of data dissemination at national level: 20 August 2024.
14.1.1. Time lag - first result
Restricted from publication
14.1.2. Time lag - final result
Restricted from publication
14.2. Punctuality
2 calendar days.
14.2.1. Punctuality - delivery and publication
2 calendar days between the actual delivery of the data and the target date.
100%: percentage of release delivered on time.
15.1. Comparability - geographical
There is no problem of comparability across the country’s regions.
15.1.1. Asymmetry for mirror flow statistics - coefficient
Not relevant
15.2. Comparability - over time
Possible limitations in the use of data for comparisons over time: For the preparation of statistics for 2008–2012, population figures recalculated based on the 2011 Population and Housing Census data are used (released in the databases and publications for the year 2013). The break in the time series due to the recalculation of information in 2008 has only a negligible impact on data comparability over time. The time series is comparable since 2003.
15.2.1. Length of comparable time series
The length of comparable time series depends on the module and variable considered within each of the modules of the survey.
15.3. Coherence - cross domain
Not applicable
15.3.1. Coherence - sub annual and annual statistics
Not applicable
15.3.2. Coherence - National Accounts
Not applicable
15.4. Coherence - internal
All statistics are coherent within the dataset provided by the country.
15.4.1. Survey questionnaire – mandatory questions
MANDATORY questions in the Eurostat model questionnaire 2024:
Table 15.4.1. of document "Standard errors – Mandatory – Optional questions_LT – 2024" in the Annexes lists the questions for which the coverage of subjects and characteristics reflected in the national questionnaire differs from Annex 2 of the Commission Delegated Regulation (EU) 2023/1797 of 7 July 2023.
15.4.2. Survey questionnaire – optional questions
Adoption of OPTIONAL questions and items in the Eurostat model questionnaire 2024:
Table 15.4.2. of document "Standard errors – Mandatory – Optional questions_LT – 2024" in the Annexes lists the optional questions from the annual Eurostat model questionnaire 2024 included in the national questionnaire and their coverage for age groups beyond the standard scope.
15.4.3. Survey questionnaire – additional questions at national level
Additional questions introduced in the national questionnaire in 2024: No additional questions have been added to Eurostat questionnaire.
15.4.4. Survey questionnaire – deviations
Effects of deviations from the routing used in the Eurostat model questionnaire: No deviations from Eurostat’s routing otherwise.
Restricted from publication
17.1. Data revision - policy
The revision policy applied by Statistics Lithuania is described in the Description of Procedure for Performance, Analysis and Publication of Revisions of Statistical Information.
17.2. Data revision - practice
The final results are published, no scheduled revisions are performed.
17.2.1. Data revision - average size
Not relevant
18.1. Source data
The source of the raw data is described with more details in the paragraphs below.
18.1.1. Sampling frame
IT usage in households survey is a stand-alone survey based on a voluntary participation of the selected persons.
Sampling frame: Population Register was used for the survey sampling. This database includes data on the residents of the country: the citizens of Lithuania, the citizens of foreign countries or persons without citizenship, declaring the place of residence in Lithuania or registering any changes of the civil state in a registry office.
Resident population statistics data (number of persons by sex, age groups and in strata) were used for weighting and grossing-up. The resident population and its structure are determined using a cohort-component method (based on the results of the most recent population and housing census, statistical data on live births, deaths, individuals changing their usual place of residence, territorial-administrative changes). Statistical data on live births, deaths, individuals changing their usual place of residence are received from the central database of the Population Register.
Known shortcomings of the sampling frame: Not all movements of the population within the country are reflected, whereas not all persons report about changing the address to a respective institution, or the declared place of residence is not the main place of residence. Consequently, if the person included in the sample does not live at the address specified, the person actually living at that address whose birthday is the closest to the date of the interview is asked to answer the survey questionnaire.
18.1.2. Sampling design
Sampling design: A one-stage stratified sample design with a simple random sample in strata was used. The size of the sample of persons in every stratum is proportional to the number of residents aged 16–74 in them. The entire Lithuanian territory was divided into 25 non-overlapping groups – strata. The population of the 5 largest cities of Lithuania, towns and rural areas of the 10 counties were divided into separate strata. One individual was interviewed in the selected address.
18.1.3. Net effective sample size
Restricted from publication
18.2. Frequency of data collection
Annual
18.3. Data collection
1) Methods used to gather data: Combination of techniques was applied: self-accomplished survey via web based application (CAWI) combined with CATI and face-to-face interviews.
2) Short description of the survey method: Distribution of survey respondents by data collection technique: 16.4% – self-completed web interviews (CAWI), 15.8% – face-to-face interviews (CAPI), 67.7% – telephone interviews (CATI), 0% (2 cases) – paper assisted personal interview (PAPI).
3) Variables completed from an external source:
- G1: Age in completed years obtained from Population register. Day, month and year of birth. Age is a derived variable.
- G2: Sex obtained from the Population Register
- G3: Country of birth obtained from the Population Register
- G4: Country of main citizenship obtained from the Population Register
- G11: Occupation in the main job for employees obtained from the State Social Insurance Fund Board (Sodra).
- G12: Region of residence – NUTS 2; NUTS 3 obtained from the Population Register.
- G15: Geographical location (less developed region) from EU28-eligibility map.
18.4. Data validation
To ensure the quality of statistical data, specialists of Statistics Lithuania perform data editing and validation. Inaccuracies are assessed and errors that are not corrected during data entry are corrected. If the errors cannot be corrected, supervisers interact with the interviewers and, as a last resort, contact the respondent. Data imputation applies only in rare cases, if an answer cannot be obtained by contacting the respondent again. The modal value in the group, depending on the respondent's age, gender, education, place of residence and employment is imputed.
18.5. Data compilation
Data editing, entry, missing value imputation, weight adjustment for non-response, calibration are performed.
Process of preparing statistical indicators is described in more detail in the Methodology of the Statistical Survey of the Use of Information Technologies in Households.
18.5.1. Imputation - rate
For the target indicator "Individuals having ordered goods or services for private use over the internet in the last 12 months" (individuals who ticked 'Within the last 3 months' or 'Between 3 months and a year ago' in the question “When did you last buy or order goods or services for private use over the internet?”:
Imputation rate (% of observations): 0
Imputation rate (share of estimate): 0
18.5.2. Use of imputation methods
Methods used to impute item non-response: The household income has missing values. The household member equalised income homogeneity groups were determined, and missing income was simulated according to the normal distribution. Calibration of the design weights is done by SAS macro CLAN adjusting the set of respondents for non-response and to the demographic data in the groups selected, and calibrated weights are obtained.
18.5.3. Grossing-up procedures
Grossing up procedures have been applied to Individuals and/or Households: the same procedure was used for the households and for the individuals.
Description of the weighting procedures: Sample weights were used to calculate estimates because population quantities were estimated using the sample. In this survey, parameters were estimated using calibrated weights. State Data Agency (Statistics Lithuania) used the number of persons in sex, age groups and strata from demographic data as auxiliary information.
18.6. Adjustment
Not relevant
18.6.1. Seasonal adjustment
Not relevant
The EU survey on the use of ICT in households and by individuals is an annual survey conducted since 2002. In Lithuania, it has been conducted since 2003.
In 2024, the survey collects data on the access to information and communication technologies (ICT), on the use of the internet, e-government and e-commerce, internet of things, as well as green ICT.
4 January 2025
The survey is collecting data of internet users, individuals who have used the internet in the three months prior to the survey.
This annual survey is used to benchmark ICT-driven developments, both by following developments for core variables over time and by looking in greater depth at other aspects at a specific point in time. While the survey initially concentrated on access and connectivity issues, its scope has subsequently been extended to cover a variety of subjects (for example, the use of internet, e-government, e-commerce, internet of things and green ICT) and socio-economic analysis (such as regional diversity, gender specificity, differences in age, education and the employment situation). The scope of the survey with respect to different technologies is also adapted to cover new product groups and means of delivering communication technologies to end-users.
For more details on the methodology applicable in each survey year, please consult the Compiler's Manual for the respective year (Methodological Manual - Information society statistics).
Deviations from standard ICT concepts: No deviations.
Households and Individuals
In the ICT usage survey, the target population for the different statistical units is:
- individuals: all individuals aged 16 to 74;
- households: all (private) households with at least one member aged 16 to 74.
Target population composed of households and/or individuals:
- Number of households: 1400179
- Number of individuals: 2171572
Entire country.
For most questions the reference period is the last three months before the interview. Questions in the modules on e-government and eID refer to the 'last year' before the interview.
Deviation from this statement: No deviations.
The survey is conducted using a stratified sample with a simple random sample in the strata. The sample of 6 000 individuals was selected. A population sampling list used to select the sample is compiled on the basis of the Population Register.
The entire Lithuanian territory was divided into 25 non-overlapping groups – strata. Population of the 5 largest cities of Lithuania, towns and rural areas of 10 counties was divided into separate strata. The sample size in each of these strata is proportional to the population aged 16-74. If the selected person does not live at the specified address, he or she shall be removed from the sample list and replaced by another person living at that address whose birthday is closest to the survey.
Standard errors of the key parameters estimates are estimated.
The proposed model questionnaire was translated, adapted, tested by special working group for testing questionnaires and several respondents. Prepared questionnaire was legitimated by order of the Director General of Statistics Lithuania.
The manual for interviewers was prepared.
Software for interviewing, including several validation rules to prevent coherence errors, ensuring immediate correction at the moment of interviewing, was prepared and tested. Electronic questionnaire was complemented with some methodological explanations, definitions and some other helpful information and prefilled with personal data from Population register and Social insurance board database.
Percentages of ‘Households’ and Percentages of ‘Individuals’
Data editing, entry, missing value imputation, weight adjustment for non-response, calibration are performed.
Process of preparing statistical indicators is described in more detail in the Methodology of the Statistical Survey of the Use of Information Technologies in Households.
The source of the raw data is described with more details in the paragraphs below.
Annual
Date of data dissemination at national level: 20 August 2024.
There is no problem of comparability across the country’s regions.
Possible limitations in the use of data for comparisons over time: For the preparation of statistics for 2008–2012, population figures recalculated based on the 2011 Population and Housing Census data are used (released in the databases and publications for the year 2013). The break in the time series due to the recalculation of information in 2008 has only a negligible impact on data comparability over time. The time series is comparable since 2003.
