Unit of measure
Documentation on methodology
Comparability
Cost and response burden
Data revision
Comment
1 | Contact | |
1.1 | Contact organisation | Statistics Lithuania |
1.2 | Contact organisation unit | Living Standards and Employment Statistics Division |
1.3 | Contact name | Lidija Špakovskaja |
1.4 | Contact person function | Chief specialist |
1.5 | Contact mail address | 29 Gedimino Ave., LT-01500 Vilnius, Lithuania |
1.6 | Contact email address | |
1.7 | Contact phone number | +370 652 41 978 |
1.8 | Contact fax number | – |
2 | Metadata update | |
2.1 | Metadata last certified |
2022-10-28 |
2.2 | Metadata last posted | 2022-10-28 |
2.3 | Metadata last update | 2022-10-28 |
3 | Statistical presentation | |
3.1 | Data description |
The purpose of the survey is to assess the availability of computers and Internet access in households, frequency and purposes of Internet usage, use of mobile devices, e-commerce and e-governance usage, digital skills, IT security and trust, the impact and challenges of IT use. |
3.2 | Classification system |
Lithuanian Classification of Occupations (LPK 2012); Lithuanian Classification of Education (LŠK 2014); Classification of Administrative Units and Populated Localities of the Republic of Lithuania (LR AVGVK 2018) (only in Lithuanian); |
3.3 | Sector coverage | – |
3.4 | Statistical concepts and definitions | Proportion of households having personal computers is the proportion of private households having at least one desktop or laptop computer for private use among private households with at least one member aged 16–74. Proportion of households having Internet access is the proportion of private households at least one member of which has Internet access and can use the Internet at home among private households with at least one member aged 16–74. Proportion of individuals using the Internet is the proportion of individuals aged 16–74 using the Internet (irrespective of the device used for Internet browsing) among all the individuals in this age group. Proportion of individuals using the Internet regularly is the proportion of individuals aged 16–74 using the Internet at least once a week among all the individuals in this age group. E-commerce refers to product (goods or services) sale/purchase transactions that are conducted via electronic networks. Products are ordered via networks, while the payment for and delivery of products may be autonomous (i.e. not via a network). Orders received by phone, fax or manually typed emails are not counted as electronic commerce. E-commerce refers to product (goods or services) sale/purchase transactions that are conducted via electronic networks. Products are ordered via networks, while the payment for and delivery of products may be autonomous (i.e. not via a network). Orders received by phone, fax or manually typed emails are not counted as electronic commerce. Internet of Things is an interconnected smart devices or systems that collects and exchanges data and can be monitored or controlled remotely over the Internet. The Internet of Things is an interconnected smart device or system that collects and exchanges data and can be monitored or controlled remotely over the Internet. Broadband is a digital communication technology service capable of transmitting large amounts of data at high speeds and capable of providing a variety of digital services simultaneously. Broadband includes digital subscriber line DSL, optical fibre, other fixed access, mobile broadband at least 3G. |
3.5 | Statistical unit | Member of private household aged 16–74 |
3.6 | Statistical population | The survey population is all private households in Lithuania with at least one member aged 16–74 and permanent residents of Lithuania aged 16–74. Individuals living in institutional households (care homes, families, prisons, monasteries) are not surveyed. |
3.7 | Reference area | Information is published for whole country and counties |
3.8 | Time coverage | Since 2003 |
3.9 | Base period | – |
4 | Unit of measure |
Share of households or individuals, per cent |
5 | Reference period | The reference period for which data are collected, depending on the topic, is the first quarter or the last 12 months. The developed indicators are published as annual indicators. |
6 | Institutional mandate | |
6.1 | Legal acts and other agreements |
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, amending Regulations (EC) No 808/2004, (EC) No 452/2008 and (EC) No 1338/2008 of the European Parliament and of the Council, and repealing Regulation (EC) No 1177/2003 of the European Parliament and of the Council and Council Regulation (EC) No 577/98 (OJ L 261 I, 14.10.2019, p. 1), Commission Implementing Regulation (ES) 2021/1223 of 20 July 2020 specifying the technical items of the data set, establishing the technical formats for transmission of information and specifying the detailed 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 2021 pursuant to Regulation (EU) 2019/1700 of the European Parliament and of the Council (OJ L 269, 27.07.2021, p. 1). |
6.2 | Data sharing |
The exchange of statistical data required for the implementation of the Official Statistics Program is defined in Article 13 of the Law on Official Statistics. |
7 | Confidentiality | |
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 | Statistical Disclosure Control Manual, approved by Order No DĮ-107 of 26 April 2022 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 | Release policy | |
8.1 | Release calendar | Statistical information is published on the Official Statistics Portal according to the Official Statistics Calendar. |
8.2 | Release calendar access |
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8.3 | 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 Statistics Lithuania approved by Order No DĮ-176 of 2 July 2021 of the Director General of Statistics Lithuania. |
9 | Frequency of dissemination | Once a year. |
10 | Accessibility and clarity | |
10.1 | A news release is published on 19 August 2022, at 9 a.m. |
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10.2 | Information is published in the e-publication Digital Economy and Society in Lithuania. |
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10.3 | On-line 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. |
10.4 | Micro-data access |
Microdata are available and provided for scientific purposes according to the provisions set in the Description of Procedures for the Provision of Confidential Statistical Data for Scientific Purposes. More information is available on the Official Statistics Portal, at Data for scientific purposes. Statistics Lithuania, in response to the needs of users of statistical information, provides them with access to open data sets with data on statistical observation units. More information is available on the Official Statistics Portal, at Open data. |
10.5 | Other | 1. Statistical information is published in the Eurostat‘s database 2. Statistical information can also be provided on user's request (more information is available on the Official Statistics Portal). |
11 | Documentation on methodology |
Methodological documents are published on the Official Statistics Portal, section Information and Communication Technologies |
12 | Quality management | |
12.1 | 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. |
12.2 | Quality 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. |
13 | Relevance | |
13.1 | 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. |
13.2 | 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. |
13.3 | 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. |
13.3.1 | Data completeness - rate |
98 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. |
14 | Accuracy and reliability | |
14.1 | Overall accuracy | The survey is conducted using a stratified sample with a simple random sample in the strata. 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. |
14.2 | Sampling error |
Standard error of the indicator “Proportion of households with Internet access” in 2022 was 0.61 percentage point. Standard error of the indicator “Proportion of persons using the Internet regularly” in 2022 – 0.55 percentage point. Standard error of the indicator “Proportion of individuals having ordered goods or services for private use via the internet in the last 12 months” in 2022 – 0.71 percentage point. |
14.3 | Non-sampling error |
Impact of non-sampling errors on the results is negligable. |
14.3.1 | Non-response error |
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. |
14.3.1.1 | Unit non-response rate |
In 2022, the individuals non-response rate was 23 per cent. |
14.3.1.2 | Item non-response rate |
Item non-response rate is not monitored. |
15 | Timeliness and punctuality | |
15.1 | Timeliness |
Statistical information was published in the 8th month of the reference year. |
15.2 | Punctuality |
Statistical information is published in accordance with an Official Statistics Calendar. In case of delay, users are notified in advance by indicating the reason and a new date of publication. |
15.2.1 | Punctuality - delivery and publication |
100 per cent |
16 | Comparability |
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16.1 | Comparability - geographical |
Statistical information is comparable across the EU. |
16.2 | Comparability - 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. |
16.2.1 | Length of comparable time series |
The time series is comparable since 2003. |
17 | Coherence | |
17.1 | Cross-domain coherence |
There is no indicators in other domains about the use of IT in households. |
17.2 | Coherence - internal |
The elements of the statistical dataset are coherent. |
18 | Cost and response burden |
In 2022, 170.2 thousand euros are a\loocated for the statistical survey of the use of information technologies in households. 6 000 persons aged 16–74 were selected for the survey (representing 0.21% of the population). The average time spent by respondents to fill in the electronic questionnaire online or interview duration – 19.2 minutes. Compared to last year, the burden on respondents remained the same. Statistics Lithuania focuses on the reduction of the statistical reporting burden for respondents. The obligations of Statistics Lithuania to implement the Law on Reduction of Administrative Burden of the Republic of Lithuania and to reduce statistical reporting burden for respondents are provided in the Statistical Reporting Burden Reduction Policy. More information about the reduction in the statistical reporting burden is available at https://osp.stat.gov.lt/statistines-atskaitomybes-nastos-mazinimas. |
19 | Data revision |
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19.1 | 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. |
19.2 | Data revision - practice |
The final results are published, and they are not revised after the publication. |
19.2.1 | Data revision - average size |
– |
20 | Statistical processing | |
20.1 | Source data |
The source of statistical data is the statistical survey on information and communication technologies (ICT) usage in households. |
20.2 | Frequency of data collection |
Data are collected annually. |
20.3 | Data collection |
Statistical data is collected by filling in the the IT Usage in Households Survey Questionnaire IT(NŪ)-01 by the respondents in the electronic system of population surveys e.Statistics for residents, or through the interviews of respondents carried out by specialists (interviewers) face-to-face or by telephone. The form of the statistical questionnaire is updated annually and tested in case of major changes. |
20.4 | 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. |
20.5 | 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 (only in Lithuanian). |
20.6 | Adjustment | No impact of the season and the number of working days. |
21 | Comment |
– |