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For any question on data and metadata, please contact: Eurostat user support |
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1.1. Contact organisation | HELLENIC STATISTICAL AUTHORITY - ELSTAT 18510, PIREOS 46 & EPONITON STR, PIRAEUS , GREECE |
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1.2. Contact organisation unit | GENERAL DIRECTORATE OF STATISTICS POPULATION, EMPLOYMENT AND COST OF LIVING STATISTICS DIVISION HOUSEHOLD SPECIAL STATISTICS UNIT |
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1.5. Contact mail address | 18510, PIREOS 46 & EPONITON STR, PIRAEUS , GREECE |
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2.1. Metadata last certified | 04/01/2023 | ||
2.2. Metadata last posted | 29/09/2023 | ||
2.3. Metadata last update | 29/09/2023 |
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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 Greece, it 's being conducted since 2002. In 2022, the survey collects data on the access to information and communication technologies (ICT), on the use of the internet, e-government, e-commerce, internet of things, as well as green ICT. |
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3.1.1. Survey name in national and English languages | ||||||||||||
National language: ΕΡΕΥΝΑ ΧΡΗΣΗΣ ΤΕΧΝΟΛΟΓΙΩΝ ΠΛΗΡΟΦΟΡΗΣΗΣ ΚΑΙ ΕΠΙΚΟΙΝΩΝΙΑΣ ΑΠΟ ΝΟΙΚΟΚΥΡΙΑ ΚΑΙ ΑΤΟΜΑ, ΕΤΟΥΣ 2022 English: SURVEY ON THE USE OF INFORMATION AND COMMUNICATION TECHNOLOGIES BY HOUSEHOLDS AND INDIVIDUALS, YEAR 2022 Questionnaire(s) in national language and the translation in English are available in the annex.
Annexes: HH ICT QUESTIONNAIRE 2022_EN HH ICT QUESTIONNAIRE 2022_EL |
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3.2. Classification system | ||||||||||||
The following common concepts and definitions apply under the Integrated European Social Statistics (IESS):
Additional classifications used in the national questionnaire: None |
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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. |
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3.3.1. Differences in scope at national level | ||||||||||||
No differences exist. |
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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 (1rst quarter of the year). Regular internet users are individuals who used the internet, on average, at least once a week 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 e-government and e-commerce) 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 so as 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 Methodological Manual for the respective year on CIRCABC - Methodological Manual - Information society statistics (europa.eu). Deviations from standard ICT concepts: None |
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3.5. Statistical unit | ||||||||||||
Households and Individuals |
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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:
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3.6.1. Non-compulsory age groups | ||||||||||||
Non-compulsory age groups also included in the target population:
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3.6.2. Population not covered by the data collection | ||||||||||||
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3.7. Reference area | ||||||||||||
Whole Greek territory |
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3.8. Coverage - Time | ||||||||||||
Year 2022 |
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3.9. Base period | ||||||||||||
Not applicable |
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Percentages of ‘Households’ and Percentages of ‘Individuals’ |
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5.1. Survey period | |||
Survey started on 02 July and ended on 31 August 2022. |
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6.1. Institutional Mandate - legal acts and other agreements | |||
The legal basis for the 2022 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, 14.10.2019, p. 1), as implemented by the Commission Implementing Regulation (EU) 2021/1223 of 27 July 2021 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 2022 pursuant to Regulation (EU) 2019/1700 of the European Parliament and of the Council (OJ L 2269, 27.07.2021, pp. 1-45). Complementary national legislation constituting the legal basis for the survey on the use of ICT in households and by individuals: The legal framework concerning the organization and operation of ELSTAT is as follows:
As prementioned, 2022 survey is conducted in accordance with Implementing Regulation 2021/1223 of the European Parliament and of the Council determining the technical components of the data set, the technical formats for the transmission of information and the detailed arrangements and content of quality reports on the organization of a sample survey on the use of information and communication technologies for the reference year 2022. |
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6.2. Institutional Mandate - data sharing | |||
Access to the data is based on the legal conditions according to the Commission Regulation (EU) No 557/20131 of 17 June 2013 on access to confidential data for scientific purposes. Upon agreement, access is provided for practical arrangements to the anonymised micro-datasets for researchers free of charge. |
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7.1. Confidentiality - policy | |||
The issues concerning the observance of statistical confidentiality by the Hellenic Statistical Authority (ELSTAT) are governed by articles 7, 8 and 9 of the Law 3832/2010, as amended by article 90 paragraph 8 of Law 3842/2010 and by article 10 of Law 3899/2010, as well as by article 8 of Law 2392/1996, which was brought back into force, in accordance with article 90 paragraph 8 of Law 3842/2010. http://www.statistics.gr/en/legal-framework Furthermore, ELSTAT disseminates the statistics in compliance with the statistical principles of the European Statistics Code of Practice and in particular with the principle of statistical confidentiality COP. |
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7.2. Confidentiality - data treatment | |||
- ELSTAT protects and does not disseminate data it has obtained or it has access to, which enable the direct or indirect identification of the statistical units that have provided them by the disclosure of individual information directly received for statistical purposes or indirectly supplied from administrative or other sources. ELSTAT takes all appropriate preventive measures so as to render impossible the identification of individual statistical units by technical or other means that might reasonably be used by a third party. Statistical data that could potentially enable the identification of the statistical unit are disseminated by ELSTAT if and only if:
- The confidential data that are transmitted by ELSS agencies to ELSTAT are used exclusively for statistical purposes and the only persons who have the right to have access to these data are the personnel engaged in this task and appointed by an act of the President of ELSTAT. - ELSTAT may grant researchers conducting statistical analyses for scientific purposes access to data that enable the indirect identification of the statistical units concerned. The access is granted provided the following conditions are satisfied:
- Issues referring to the observance of statistical confidentiality are examined by the Statistical Confidentiality Committee (SCC) operating in ELSTAT. The responsibilities of this Committee are to make recommendations to the President of ELSTAT on:
- The staff of ELSTAT, under any employment status, as well as the temporary survey workers who are employed for the collection of statistical data in statistical surveys conducted by ELSTAT, who acquire access by any means to confidential data, are bound by the principle of confidentiality and must use these data exclusively for the statistical purposes of ELSTAT. After the termination of their term of office, they are not allowed to use these data for any purpose. - Violation of data confidentiality and/or statistical confidentiality by any civil servant or employee of ELSTAT constitutes the disciplinary offence of violation of duty and may be punished with the penalty of final dismissal. ELSTAT, by its decision, may impose a penalty amounting from ten thousand (10,000) up to two hundred thousand (200,000) euros to anyone who violates the confidentiality of data and/or statistical confidentiality. The penalty is always imposed after the hearing of the defence of the person liable for the breach, depending on the gravity and the repercussions of the violation. Any relapse constitutes an aggravating factor for the assessment of the administrative sanction. |
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8.1. Release calendar | |||
Press Release date - General Results – «Survey on the Use of Information and Communication Technologies by Households and Individuals - Year 2022» : 08 December 2022 |
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8.2. Release calendar access | |||
8.3. Release policy - user access | |||
Users are informed on data release dates through ELSTAT’s website. The equal access of users to data is governed by the European Statistics Code of Practice. |
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Annual |
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10.1. Dissemination format - News release | |||
The press release has been announced on 08 December 2022. |
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10.2. Dissemination format - Publications | |||
Publication “The Living Conditions in Greece” provides, both in Greek and English languages, the latest statistics illustrating living conditions in Greece, among which data from the Survey on the use of information and communication technologies in households and by individuals. The publication is updated with the latest data the first Friday of January, March, May, July, September and November. Also publication “Greece in figures” publishes data on the ICT survey. |
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10.3. Dissemination format - online database | |||
On line data base (anonymized microdata files) for data access, has been available in ELSTAT’s site, since 24/1/2023: https://www.statistics.gr/el/public-use-files |
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10.3.1. Data tables - consultations | |||
Information is not available. However, up to the end of November 2022, 10,100 users have visited ELSTAT’s site (www.statistics.gr) to consult information (Press Releases, Tables, Questionnaires, SIMS) on HH ICT survey, in general, and not of a specific year. |
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10.4. Dissemination format - microdata access | |||
Microdata are available to users upon request in the competent Unit of Statistical Information using the following links: |
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10.5. Dissemination format - other | |||
10.5.1. Metadata - consultations | |||
Information is not available. |
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10.6. Documentation on methodology | |||
Information on the survey (in Greek and in English) is posted on the website of ELSTAT https://www.statistics.gr/en/statistics/-/publication/SFA20/- Users in the above link can find the questionnaire of the survey, the surveys’ guidelines (only in Greek) and the SIMS in national language and in English. |
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10.6.1. Metadata completeness - rate | |||
100% |
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10.7. Quality management - documentation | |||
Commission Implementing Regulation EU 2021/1223 specifies 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 2022 pursuant to Regulation (EU) 2019/1700 of the European Parliament and of the Council. Quality documentation is included in the Quality Report. |
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11.1. Quality assurance | |||
The quality of the survey is ensured by the existence of a methodological handbook issued by Eurostat, as well as by the use of a common questionnaire – template, in order to improve comparability of results in all member states, and in general by the implementation of the European Statistics Code of Practice. |
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11.2. Quality management - assessment | |||
Quality assessment is carried out by ELSTAT and Eurostat. The sample size is such as to ensure high accuracy results, representative for the reference population and all necessary steps are taken so as to make all appropriate checks and minimize measurement errors in data collection. Data are accompanied by the quality report analyzing the accuracy, consistency and comparability of data. After the checks in order to detect errors, which are being corrected, and the estimation of sampling errors, the obtained results are considered to be of high quality. |
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12.1. Relevance - User Needs | |||
Main users of the survey data is Eurostat, the State, OECD, Universities (professors, graduate and post graduate students), researchers on the field of information society, telecommunication providers etc. The Hellenic Statistical Authority (ELSTAT) is in cooperation with the Ministry of Digital Governance during the development of the questionnaire, even at the very early stage, during the written consultations. |
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12.2. Relevance - User Satisfaction | |||
Department of Statistical Information Transmission conducts a survey on users’ satisfaction. http://www.statistics.gr/user-satisfaction-survey |
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12.3. Completeness | |||
All variables required for transmission (mandatory variables) have been included in the microdata. |
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12.3.1. Data completeness - rate | |||
The completeness of data and breakdowns are considered to be very satisfactory according to user needs, while ESTAT’s requirements are set out in Commission Regulations (EU) 2019/1700 OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL of 10 October 2019 and Implementing Regulation 2021/1223. |
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13.1. Accuracy - overall | |||||||||||||||||||||||||||||||||
The concept of accuracy refers to the precision of estimates computed from a sample rather than from the entire population. Accuracy depends on sample size, sampling design effect and structure of the population under study. In addition to that, sampling errors and non sampling errors need to be taken into account. The sample size has been defined from the Division of Methodology, Quality Management and Public Relations, according to the provisions set in the surveys’ implementing regulation, allowing thus the production of high accuracy estimations for the country and also for the 4 great geographical areas of the country (NUTS1 level). Sampling errors are being calculated from the competent division (see §13.2 below). For the non-sampling errors see §13.3 below. |
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13.2. Sampling error | |||||||||||||||||||||||||||||||||
Please find the description of the sampling error estimation method in the annexes below. Annexes: Sampling error estimation method:Analytic method |
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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 question D1 of the 2022 model questionnaire): Number of respondents (absolute value for ‘Yes’ answers): 2,149 Estimated proportion (in %): 44.98% of total population 16-74 years old Standard error (in percentage points): 0.74 Details of the breakdowns are available in the annexes below. Annexes: ANNEX 13.2.1. SAMPLING ERRORS |
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13.3. Non-sampling error | |||||||||||||||||||||||||||||||||
See more details on non-sampling error below. |
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13.3.1. Coverage error | |||||||||||||||||||||||||||||||||
Coverage errors are caused by the imperfections of a sampling frame for the target population of the survey. Coverage errors include over-coverage, under-coverage and misclassification:
A systematic source of coverage problems is the time lag between the reference date for the selection of the sample and the fieldwork period, which should be made the shortest. |
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13.3.1.1. Over-coverage - rate | |||||||||||||||||||||||||||||||||
0.33% of selected households did not belong in the target population because all members were over 74 years old. |
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13.3.1.2. Common units - proportion | |||||||||||||||||||||||||||||||||
Not requested in the ICT survey. |
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13.3.2. Measurement error | |||||||||||||||||||||||||||||||||
1) Measurement errors: They occur at the time of data collection from the questionnaire (design, content and wording), the interviewers and their training, the respondents, the routing, the skills testing before starting the fieldwork, etc. In order to reduce these errors the following actions were done: 2) Questionnaire design and testing:
3) Interviewer training:
Finally, checks (validation/ logical/ completeness/ flow, etc.) are carried out both by ELSTAT and EUROSTAT (validation programs). Supervisors are in close communication with interviewers for attending work progress or to discuss and solve occurring problems. 4) Proxy interview rates: Not applicable. |
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13.3.3. Non response error | |||||||||||||||||||||||||||||||||
Information about non-respondents: Non-response errors are errors due to an unsuccessful attempt to obtain the desired information from an eligible unit. Unit non-response: refers to the absence of all information of a whole unit (household and person) selected for survey. |
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13.3.3.1. Unit non-response - rate | |||||||||||||||||||||||||||||||||
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). Unit non-response rate for
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13.3.3.1.1. Unit non-response – sample sizes | |||||||||||||||||||||||||||||||||
Comments, if any: |
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13.3.3.1.2. Unit non-response – methods, minimization and substitution | |||||||||||||||||||||||||||||||||
1) Methods used for dealing with unit non-response: The sample of households was divided into classes (Response Homogeneous Groups) in which the units have approximately the same propensity to respond and the variables of interest are homogeneous as constant as possible. These classes were created by 13 Regions-NUTS2 plus aggregating strata in former Greater Thessaloniki, as well as Regional Unities in former Greater Athens Area. 2) Methods used for minimizing unit non-response: An advanced notification letter is sent to all households; approximately 1 month before the survey conduct, among others providing information on how the data collected are being used. In cases where the households couldn’t be approached, mainly due to temporary absence, a number of attempts for phone calls (up to three) are being used. The letter (annexed) also includes data (infographic) from the latest survey, showing thus to the respondents how the data they are providing are being used. 3) Substitution permitted: No substitution is permitted 4) Substitution rate (in %): 0% Annexes: INFORMATIVE LETTER 2022_el |
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13.3.3.2. Item non-response - rate | |||||||||||||||||||||||||||||||||
Items with low response rates (observed rates in %): 0 |
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13.3.4. Processing error | |||||||||||||||||||||||||||||||||
Such errors can occur at all stages of data processing after collection, such as the coding of questionnaire responses. Good processing methods, but also quality controls having been developed since 2002 (1st year of survey) have significantly reduced this type of errors. Data entry controls Several plausibility checks have been made, using the validation rules of ESTAT, as well as using additional checks prepared by ELSTAT. In general, data entry programs and post-data entry programs checks concern the following:
Codification The codification regarding occupation (ISCO-08), economic activity of the local unit (NACE rev.2), as well as nationality, is undertaken by experienced personnel, following the international classifications. |
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13.3.5. Model assumption error | |||||||||||||||||||||||||||||||||
Not requested for ICT Survey |
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14.1. Timeliness | ||||||||
The time lag between the reference period of the survey data and the publication of data is approximately 10 months. |
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14.1.1. Time lag - first result | ||||||||
Restricted from publication | ||||||||
14.1.2. Time lag - final result | ||||||||
Restricted from publication | ||||||||
14.2. Punctuality | ||||||||
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14.2.1. Punctuality - delivery and publication | ||||||||
No time lag exists between the actual delivery of the data and the target date, as data are being delivered on time. |
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15.1. Comparability - geographical | |||
Since common variable definitions and data production methods have been implemented not only in all geographical regions of the country but also among the EU countries, no geographical comparability |
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15.1.1. Asymmetry for mirror flow statistics - coefficient | |||
Not relevant |
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15.2. Comparability - over time | |||
Possible limitations in the use of data for comparisons over time: From 2002 onwards, the data are comparable because common definitions and methods of data production are applied; therefore, in general, no problem on comparability over time exists. |
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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. |
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15.3. Coherence - cross domain | |||
Not applicable |
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15.3.1. Coherence - sub annual and annual statistics | |||
Not applicable |
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15.3.2. Coherence - National Accounts | |||
Not applicable |
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15.4. Coherence - internal | |||
All statistics are coherent within the dataset. |
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15.4.1. Survey questionnaire – mandatory questions | |||
MANDATORY questions in the Eurostat model questionnaire 2022: The table in the annexes below lists the questions that do not reflect the coverage of subjects and characteristics of Annex 2 of the Commission Delegated Regulation (EU) 2021/1898 of the 20 July 2021. Annexes: Table 15.4.1 MANDATORY QUESTIONS |
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15.4.2. Survey questionnaire – optional questions | |||
Adoption of OPTIONAL questions and items in the Eurostat model questionnaire 2022: The table in the annexes below lists the optional questions from the annual Eurostat model questionnaire 2022 included in the national questionnaire and their coverage for age groups beyond the standard scope. Annexes: Table 15.4.2 OPTIONAL QUESTIONS |
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15.4.3. Survey questionnaire – additional questions at national level | |||
Additional questions introduced in the national questionnaire: No additional questions have been added to Eurostat questionnaire. |
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15.4.4. Survey questionnaire – deviations | |||
Effects of deviations from the routing used in the Eurostat model questionnaire: All statistics are coherent within the dataset. |
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Restricted from publication |
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17.1. Data revision - policy | |||
The revision policy may relate to the survey data and the survey itself, i.e. the questionnaire, the sample, etc., and takes into account users’ needs for additional statistical information. http://www.statistics.gr/en/policies |
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17.2. Data revision - practice | |||
Data transmitted to Eurostat undergo detailed verifications by implementing automated validation procedures at the level of variables and breakdowns. Besides cross-sectional checks, longitudinal checks are conducted and whenever necessary (if data inconsistencies are found) reporting countries are asked to verify and revise their results. |
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17.2.1. Data revision - average size | |||
Not relevant |
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18.1. Source data | |||
The source of the raw data is described with more details in the paragraphs below. |
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18.1.1. Sampling frame | |||
The sample of households for the ICT survey of the year 2022 consisted of a sub-sample used in the European Survey on Income and Living Conditions (EU-SILC) of the years 2014 - 2021. The EU-SILC is an annual rotating household survey covering the target population of the ICT survey. The EU-SILC is a multistage stratified sample survey with primary sampling unit the area (one or more unified blocks) and final unit the household. The sample design of the EU-SILC was based on data coming from the General Population Census of the year 2011. For the ICT, primary units are the areas (one or more unified blocks) and secondary units the households with members that belong to the target population. The final unit is one person randomly selected among the household members 16-74 years old. More detailed: the first level of stratification is the geographical stratification based on the partition of the whole Country into thirteen standard Regions corresponding to the European NUTS 2 level. The two former major city agglomerations of Greater Athens and Greater Thessaloniki constitute separate major geographical strata. The second level of stratification involves grouping municipal and local communes within each NUTS 2 Region by degree of urbanization, i.e., according to their population size, into four categories. These categories are defined by population size intervals 0-999, 1000-4999, 5000-29999, 30000 and over. The number of final strata in the thirteen Regions was 50. The two former major city agglomerations were further partitioned into 31 and 9 substrata respectively, on the basis of the city blocks of the municipalities that constitute them. Thus, the total number of strata for this survey was 90 corresponding to the European NUTS 2 level. The two former major city agglomerations of Greater Athens and Greater Thessaloniki constitute separate major geographical strata. It is a stand-alone-survey, and the participation is mandatory according to Greek law. EU-SILC regulation: https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32019R1700&qid=1686736920381 ICT regulation: https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32021R1223&qid=1686737779031 |
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18.1.2. Sampling design | |||
The sampling design is a probability design (multi-stage stratified sampling). Number of individuals interviewed in the selected household: One individual Number of sampling stages: Two stages for households and three stages for individuals. More information on the sampling stages is detailed in the document attached in the annexes below. Annexes: 18.1.2. Sampling design |
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18.1.3. Net effective sample size | |||
Restricted from publication | |||
18.2. Frequency of data collection | |||
Annual |
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18.3. Data collection | |||
1) Methods used to gather data: Data are collected via telephone 2) Short description of the survey method: The survey method used to collect the data is the telephone interview. Upon the completion of the questionnaire, the interviewers data entered the answers in electronic questionnaires. 3) Variables completed from an external source: Not applicable. |
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18.4. Data validation | |||
Data validation is carried out by qualitative and quantitative tests based on:
Checks in data are made from ELSTAT’s experienced personnel, also using ESTAT’s validation programs. Rational checks, inconsistency checks, as well as coverage checks are being done. Adequate number of rational and inconsistency checks also "run" while data entrying in the electronic questionnaires. |
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18.5. Data compilation | |||
Population and sample weighting adjustments were used to compensate for non-response. More details in 18.5.3. |
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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 question D1 of the 2022 model questionnaire): Imputation rate (% of observations): 0% Imputation rate (share of estimate): 0% |
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18.5.2. Use of imputation methods | |||
Methods used to impute item non-response: None |
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18.5.3. Grossing-up procedures | |||
Grossing up procedures have been applied to: Individuals and Households Description of the weighting procedures: Details of the description of the weighting procedures are given in the annexes below. Annexes: 18.5.3. Grossing-up procedures |
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18.6. Adjustment | |||
Not relevant |
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18.6.1. Seasonal adjustment | |||
Not relevant |
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HH ICT QUESTIONNAIRE 2022_EL ICT QUESTIONNAIRE 2022_EN INFORMATIVE LETTER 2022_el 13.2.1. SAMPLING ERRORS 15.4.1. MANDATORY QUESTIONS 15.4.2. OPTIONAL QUESTIONS |