1.1. Contact organisation
STATISTICAL OFFICE OF THE SLOVAK REPUBLIC (SOSR).
1.2. Contact organisation unit
Department of Population Living Standards Statistics
Social Statistics and Demography Section
1.3. Contact name
Confidential because of GDPR
1.4. Contact person function
Confidential because of GDPR
1.5. Contact mail address
STATISTICAL OFFICE OF THE SLOVAK REPUBLIC
LAMAČSKÁ CESTA 3/C
840 05 BRATISLAVA 45
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
20 December 2024
2.2. Metadata last posted
20 December 2024
2.3. Metadata last update
20 December 2024
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 Slovakia, it has been conducted since 2004.
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: Zisťovanie o využívaní informačných a komunikačných technológií v domácnostiach a jednotlivcami v roku 2024.
English: EU survey on the use of ICT in households and by individuals 2024.
Questionnaire(s) in national language(s) and the translation in English are available in the Annexes below.
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: No additional classifications
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 between national survey and Eurostat 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.
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: 1 603 266
- Number of individuals: 4 094 731
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 |
|---|---|---|
| Estimate of the resulting percentage of under-coverage (non-covered population compared to the total country), if applicable | 0.07% | 0.03% |
| 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). | 117 208 | 170 000 |
3.7. Reference area
The survey in the Slovak Republic (SR) was conducted across its entire territory, with households selected to ensure representativeness for each of the 8 NUTS3 regions.
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 e-commerce refer to the 'last year' before the interview.
Deviation from this statement: Reference period for the ICT usage in households and by individuals will be last three months before the interview 2024.
5.1. Survey period
In general, the data pertain to the first quarter of the reference year. The survey was conducted from May 2 to June 28, 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. 1), 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 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 2024 in accordance with 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 the reference year 2024 (OJ L 233, 21 September 2023).
Complementary national legislation constituting the legal basis for the survey on the use of ICT in households and by individuals: The Statistical Office of the Slovak Republic carried out a survey on the use of information and communication technologies (ICT) in compliance with Decree No. 292/2020 Coll., which outlines the Program of State Statistical Surveys for 2024–2026. The survey was conducted in randomly selected households across the Slovak Republic.
6.2. Institutional Mandate - data sharing
The data will be shared in the form of a publication 'The usage of Information-communication Technologies (ICT) in households and by individuals in 2024' on the website of the Statistical Office of the SR (in Slovak language only).
7.1. Confidentiality - policy
National legislative measures:
The protection of confidential data is regulated by Act no. 540/2001 Collection (coll.) on state statistics, as amended - In Slovak only.
The protection of personal data is regulated by Act no. 18/2018 Coll. on the protection of personal data and on the amendment of certain laws - In Slovak only.
7.2. Confidentiality - data treatment
The Statistical Office of the Slovak Republic (SOSR) adheres to established procedures for the release and provision of statistical information. This includes detailed guidelines on the dissemination process, descriptions of release formats, available products and services, and the principles governing relationships with users of statistical data. Additionally, it outlines the policy for providing standard and non-standard outputs based on user requests, including pricing policies.
The release and provision of statistical information are conducted in accordance with No 540/2001 Coll. on state statistics as amended. All processes comply with the criteria set by the European Statistics Code of Practice, ensuring timeliness, accuracy, reliability, relevance, clarity, impartiality, objectivity, professional independence, and cost-effectiveness.
8.1. Release calendar
A release calendar for statistical outputs is publicly available on the website in both Slovak and English.
8.2. Release calendar access
Catalogue of Publications 2024
8.3. Release policy - user access
The Statistical Office of the Slovak Republic (SOSR) publishes ICT data following the survey and its related publication, making it available for users to download from its website.
The Policy on Dissemination of Statistical Information (hereinafter referred to as the “Policy on Dissemination”) serves as a key document governing the dissemination of statistical data. It outlines the principles adopted by the SOSR to ensure effective and transparent distribution of statistical information.
This policy aligns with the SOSR's vision, which emphasizes professional independence and customer orientation, and its mission: to deliver high-quality, objective statistical products and services. By doing so, the SOSR aims to enhance customers’ knowledge and support informed decision-making, contributing to risk reduction and fostering sustainable development in Slovakia.
The Policy on Dissemination reflects the SOSR’s quality management principles, which prioritize customer needs and confidence in statistics. This confidence is built on the SOSR’s ability to meet the current and anticipated needs of statistical information users while upholding impartiality and objectivity.
The policy is formulated in compliance with the Act on State Statistics, the SOSR’s development strategy, Eurostat’s dissemination strategy, and the European Statistics Code of Practice.
Annual
10.1. Dissemination format - News release
There is no news release.
10.2. Dissemination format - Publications
The usage of Information-communication Technologies (ICT) in households and by individuals in 2024
10.3. Dissemination format - online database
The aggregated survey results are available through an online database:
Eurobase tables (Eurostat)
Datacube (the national webpage of the Statistical Office of the Slovak Republic.)
10.3.1. Data tables - consultations
The aggregated survey results are available through an online database:
Eurobase tables (Eurostat)
Datacube (the national webpage of the Statistical Office of the Slovak Republic.)
10.4. Dissemination format - microdata access
For the Households/Individuals survey, microdata were collected on an optional basis until 2010, on a mandatory basis since 2011. Microdata is available for scientific purposes. For more information, one can consult the official web site of Statistical Office of The Slovak Republic: Access to micro-data.
10.5. Dissemination format - other
All variables collected in the framework of this survey are available in the Comprehensive database (ACCESS format) on the dedicated section Digital economy and society.
An overview of the variables collected/published can be consulted/downloaded from the dedicated section Digital economy and society, see 'Information on data' section
10.5.1. Metadata - consultations
Not available
10.6. Documentation on methodology
Eurostat: Methodology
SOSR: Methodological guidance for a web-based questionnaire, where basic information for the interviewer and the household was provided. Methodological guidelines for a pdf questionnaire, where basic information was provided for the interviewer and the household. These documents are attached in annexes.
10.6.1. Metadata completeness - rate
Not available.
10.7. Quality management - documentation
11.1. Quality assurance
The procedures to promote general quality management principles in the organisation and the quality assurance applied for the survey include the electronic guideline on quality management, which thoroughly describes the quality policy of the Statistical Office of the Slovak Republic.
The electronic guideline on quality management system is written only in the Slovak language, attached below in the Annexes.
11.2. Quality management - assessment
Based on the mentioned directive, quality of the statistical outputs fulfils the standard quality criteria: relevance, accuracy, reliability, timeliness, punctuality, comparability and coherence.
12.1. Relevance - User Needs
The primary user of the data is the Ministry of Investments, Regional Development, and Informatization of the Slovak Republic. The Ministry utilizes national data on ICT usage by households and individuals to facilitate comparisons with data from other EU countries.
12.2. Relevance - User Satisfaction
Once a year, a customer satisfaction survey is conducted with the products and services of the Statistical Office of the Slovak Republic.
12.3. Completeness
All mandatory and optional variables required for transmission have been incorporated into the microdata.
12.3.1. Data completeness - rate
All variables - 100%.
13.1. Accuracy - overall
In general, the values of standard errors indicate no significant issues, ensuring the results are both reliable and representative. The values remain within the required interval of up to 5%.
SAS software, SURVEYFREQ Procedure
The SURVEYFREQ procedure produces one-way to n-way frequency and cross-tabulation tables from sample survey data. These tables include estimates of population totals, population proportions, and their standard errors. Confidence limits, coefficients of variation, and design effects are also available. The procedure provides a variety of options to customize the table display.
For one-way frequency tables, PROC SURVEYFREQ provides Rao-Scott chi-square goodness-of-fit tests, which are adjusted for the sample design. A null hypothesis of equal proportions for a one-way frequency table can be tested, or a custom null hypothesis proportions for the test can be set. For two-way tables, PROC SURVEYFREQ provides design-adjusted tests of independence, or no association, between the row and column variables. These tests include the Rao-Scott chi-square test, the Rao-Scott likelihood ratio test, the Wald chi-square test, and the Wald log-linear chi-square test. For tables, PROC SURVEYFREQ computes estimates and confidence limits for risks (row proportions), the risk difference, the odds ratio, and relative risks.
PROC SURVEYFREQ computes variance estimates based on the sample design used to obtain the survey data. The design can be a complex multistage survey design with stratification, clustering, and unequal weighting. PROC SURVEYFREQ provides a choice of variance estimation methods, which include Taylor series linearization, balanced repeated replication (BRR), and the Jackknife.
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). The method followed is the balanced repeated replication with balanced half-samples. The tool used was the SAS software, PROC SURVEYFREQ. The SOSR uses multiple variance estimation in imputing variance. To account for the effect of calibration on variance methods, the SOSR prepared a Calif software - web application in the R software open source tool for calibrating the weights of statistical surveys (web page only in Slovak).
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): 2459
- Estimated proportion (in %): 78.18%
- Standard error (in percentage points): 0.88
Details of the breakdowns are available in document "Standard errors–Mandatory–Optional questions_SK–2024" in the Annexes below.
13.3. Non-sampling error
See more details on non-sampling error below.
13.3.1. Coverage error
Year-on-year, there was a change in the calculation of the number of households due to considering only those households that include at least one person aged 16-74.
13.3.1.1. Over-coverage - rate
The proportion of units accessible via the frame that do not belong to the target population is 0.03% (individuals aged 16-74).
13.3.1.2. Common units - proportion
Not requested in the ICT survey.
13.3.2. Measurement error
- Measurement errors: The error may occur in the data record during the collection; after verification by the respondent with the respondent, the error will be corrected.
- Questionnaire design and testing: The questionnaire is prepared according to the Eurostat model. The first versions are commented on by the Ministry of Investments, Regional Development and Informatization of the Slovak Republic. Before starting the ICT survey, the questionnaire is tested by the interviewers so that there are no errors in the questionnaire.
- Interviewer training: Before the ICT survey, interviewers are trained by online video conferencing. They have detailed methodological guidelines prepared on the basis of a methodological manual from Eurostat. The documentation (in Slovak language) is available in the Annexes.
- Proxy interview rates: No proxy.
13.3.3. Non response error
Information about non-respondents: No non-response errors
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: 35%
- Individuals (aged 16-74): 35%
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) | 5060 | 5060 | 0 | 0 |
| 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. | 0 | 0 | 0 | 0 |
| Number of eligible elements [C]Gross sample size corrected of the ineligible cases | 5060 | 5060 |
0 | 0 |
| 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. | 3267 |
3267 |
0 | 0 |
| 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. | 0.65 | 0.65 | 0 | 0 |
Comments:
Response rate on NUTS3 level:
| REGION | Selected households | Net sample size | Response Rate |
|---|---|---|---|
| SK010 | 680 | 444 | 0,65 |
| SK021 | 540 | 352 | 0,65 |
| SK022 | 520 | 307 | 0,59 |
| SK023 | 660 | 396 | 0,60 |
| SK031 | 640 | 424 | 0,66 |
| SK032 | 580 | 370 | 0,64 |
| SK041 | 740 | 516 | 0,70 |
| SK042 | 700 | 458 | 0,65 |
13.3.3.1.2. Unit non-response – methods, minimization and substitution
- Methods used for dealing with unit non-response:The following general rules for all selected units are used: before the survey, the promotional campaign takes place (on the national level, but especially at the level of the selected municipalities).
- Methods used for minimizing unit non-response: The correction factor is used in the weighting procedure.
- Substitution permitted: Not applicable. This method was not used.
- Substitution rate (in %): Not applicable (as mentioned in 3).
13.3.3.2. Item non-response - rate
Items with low response rates (observed rates in %): Not applicable.
13.3.4. Processing error
In general, the values of standard errors indicate no significant issues, ensuring the results are both reliable and representative. The values remain within the required interval of up to 5%.
13.3.5. Model assumption error
Not applicable
14.1. Timeliness
Date of data dissemination at national level: The date of date dissemination at national level was on 13th December 2024.
14.1.1. Time lag - first result
Restricted from publication
14.1.2. Time lag - final result
Restricted from publication
14.2. Punctuality
No time lag between the actual delivery of the data and the target date.
14.2.1. Punctuality - delivery and publication
No time lag between the actual delivery of the data and the target date.
15.1. Comparability - geographical
There is no problem of comparability across the country’s regions. The level at which data is compared is equal to NUTS 3.
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: Not relevant
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:
All mandatory questions were applied in the Slovak language according to the Model Questionnaire 2024 (in Annexes as Questionnare_IKT_2024_slovak_version and Questionnare_IKT_2024_english_version).
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_SK–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.
There are no deviations in the optional questions.
Annexed files “Questionnare_IKT_2024_english_version” and “Questionnare_IKT_2024_slovak_version“ contains questionnares in Slovak and English language. All optional questions were included in a survey.
15.4.3. Survey questionnaire – additional questions at national level
Additional questions introduced in the national questionnaire in 2024:
Since 2020, one additional question has been added in the national questionnaire.
The Ministry of Investment, Regional Development, and Informatization of the Slovak Republic has requested the inclusion of a question in the ICT questionnaire to gather data on the percentage of individuals who own a mobile phone. This request was made in connection with the World Telecommunication Union questionnaire, for which the Statistical Office of the Slovak Republic provides data.
The question is: "Do you own a mobile phone?"
Ownership includes both personal mobile phones and those provided by employers, as long as they can be used for personal purposes, such as making calls or accessing the internet.
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.
Restricted from publication
17.1. Data revision - policy
The Statistical Office of the Slovak Republic releases the data in the form of a publication only after approval by Eurostat.
17.2. Data revision - practice
No comment
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
Sampling frame are data from 2021 Population and Housing Census.
The survey is a stand-alone survey and is mandatory.
There are any no known shortcomings in terms of timeliness.
18.1.2. Sampling design
Number of sampling stages:
- Surveyed households were selected so that they were representative for each of 8 regions of Slovakia (NUTS3). The sample was created individually for each region in three stages. Firstly, the basic settlement units representing seven size categories (on the base of number of population) in each region were selected with probabilities proportional to size. Secondly, in these PSUs households were selected at random.
- The final gross sample size was 5060 households. In the third stage of the sample, one individual in each household was randomly selected to answer the questions in the second part of questionnaire. The survey covered all required age categories, i.e. individuals of the age from 16 to 74.
First stage – Stratification: The stratification variables are regions and municipalities by number of population.
First stage – Unit: The primary sampling units are the basic settlement units.
Self-representing primary sampling unit: No.
Second stage – Unit: The secondary sampling units are the households.
Ultimate stage - Unit: Randomly selected person within household.
18.1.3. Net effective sample size
Restricted from publication
18.2. Frequency of data collection
Annual
18.3. Data collection
Methods used to gather data: Form of the survey in the examined households: Web questionnaire (60.6%), Personal visit (26.3%) and Telephone survey (13.2%).
Short description of the survey method:
- The Statistical Office of the Slovak Republic collected data in the first phase electronically.
- The electronic form was available on the website of the Statistical Office of the Slovak Republic.
- Households that did not fill in the electronic version of the questionnaire, the interviewers visited the staff of the Statistical Office of the Slovak Republic and filled in a paper version of the questionnaire.
Variables completed from an external source: Not applicable.
18.4. Data validation
Data processing at decentralised level: Date processing at decentralised level is a competency of the Department of sample survey statistics in Banska Bystrica. The role of this department is to process data of all ICT 2024 questionnaires completed and the finalization of regional datasets and their transmission to the Central Statistical Office. Data from web questionnaires were be sent directly to the Department of Population and Living Standards at the Central Statistical Office. After a first check, the web questionnaires were transferred to Banská Bystrica for the primary processing.
Data processing at centralised level: Final data processing at centralised level is realised by the Department of Population and Living Standards at the Central Statistical Office. The role of this department is the preparation and the elaboration of the final database of the ICT survey. The final database, as well as the metadata and quality reports, are then transmitted to Eurostat according to Eurostat’s quality requirements and standards.
18.5. Data compilation
Since 2015, Blaise 5.0 ICT software has been used for data recording in Slovakia. In the Blaise 5.0 program there are procedures used for checking and validating the source data.
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: Not applicable.
18.5.3. Grossing-up procedures
Grossing up procedures have been applied to:
Grossing-up procedures for Households and Individuals.
Representativeness of the data for the year 2024 was ensured by constructing weights. The final weights were calibrated using software R+. External sources were selected for calibration: estimation of the household structure by number of members in the region. Representativeness of the population in Slovakia was ensured by using the weights by the major demographic indicators. Using the weights was ensured representativeness of the population in Slovakia by the major demographic indicators. The following calibration variables were used at household level: number of households by number of members in administrative regions.
18.6. Adjustment
Not relevant
18.6.1. Seasonal adjustment
Not relevant
No further comments.
The EU survey on the use of ICT in households and by individuals is an annual survey conducted since 2002. In Slovakia, it has been conducted since 2004.
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.
20 December 2024
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.
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: 1 603 266
- Number of individuals: 4 094 731
The survey in the Slovak Republic (SR) was conducted across its entire territory, with households selected to ensure representativeness for each of the 8 NUTS3 regions.
For most questions the reference period is the last three months before the interview. Questions in the modules on e-government and e-commerce refer to the 'last year' before the interview.
Deviation from this statement: Reference period for the ICT usage in households and by individuals will be last three months before the interview 2024.
In general, the values of standard errors indicate no significant issues, ensuring the results are both reliable and representative. The values remain within the required interval of up to 5%.
SAS software, SURVEYFREQ Procedure
The SURVEYFREQ procedure produces one-way to n-way frequency and cross-tabulation tables from sample survey data. These tables include estimates of population totals, population proportions, and their standard errors. Confidence limits, coefficients of variation, and design effects are also available. The procedure provides a variety of options to customize the table display.
For one-way frequency tables, PROC SURVEYFREQ provides Rao-Scott chi-square goodness-of-fit tests, which are adjusted for the sample design. A null hypothesis of equal proportions for a one-way frequency table can be tested, or a custom null hypothesis proportions for the test can be set. For two-way tables, PROC SURVEYFREQ provides design-adjusted tests of independence, or no association, between the row and column variables. These tests include the Rao-Scott chi-square test, the Rao-Scott likelihood ratio test, the Wald chi-square test, and the Wald log-linear chi-square test. For tables, PROC SURVEYFREQ computes estimates and confidence limits for risks (row proportions), the risk difference, the odds ratio, and relative risks.
PROC SURVEYFREQ computes variance estimates based on the sample design used to obtain the survey data. The design can be a complex multistage survey design with stratification, clustering, and unequal weighting. PROC SURVEYFREQ provides a choice of variance estimation methods, which include Taylor series linearization, balanced repeated replication (BRR), and the Jackknife.
Percentages of ‘Households’ and Percentages of ‘Individuals’
Since 2015, Blaise 5.0 ICT software has been used for data recording in Slovakia. In the Blaise 5.0 program there are procedures used for checking and validating the source data.
The source of the raw data is described with more details in the paragraphs below.
Annual
Date of data dissemination at national level: The date of date dissemination at national level was on 13th December 2024.
There is no problem of comparability across the country’s regions. The level at which data is compared is equal to NUTS 3.
Possible limitations in the use of data for comparisons over time: Not relevant
