1.1. Contact organisation
Statistical Office of Montenegro (MONSTAT)
1.2. Contact organisation unit
Statistics of Innovation, Household Consumption and ICT Survey Department
1.3. Contact name
Confidential because of GDPR
1.4. Contact person function
Confidential because of GDPR
1.5. Contact mail address
IV Proleterska 2, 8100 Podgorica, Montenegro
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
10 December 2025
2.2. Metadata last posted
10 December 2025
2.3. Metadata last update
10 December 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 Montenegro, it has been conducted since 2011.
In 2025, the survey collects data on the access to information and communication technologies (ICT), on the use of the internet, e-government use of electronic identification (eID) and e-commerce as well as e-skills and privacy and protection of personal data.
3.1.1. Survey name in national and English languages
National language: Upotreba informaciono komunikacionih tehngologija za domacinstva i lica.
English: EU survey on the use of ICT in households and by individuals
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. Individuals aged 75 to 89 are covered by some countries on voluntary basis.
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
There is no differences in scope at national level from the main 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, use of eID, e-commerce, e-skills and privacy and protection of personal data) 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 from standard ICT concepts
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; optionally 75-to 89.
- households: all (private) households with at least one member aged 16 to 74; optionally with at least one member aged 75 to 89, but no member aged 16 to 74.
Target population composed of households and/or individuals:
- Number of households with at least one member aged 16-74: 199 296
- Number of individuals aged 16-74: 468 270
- Number of households with at least one member aged 75 to 89, but no member aged 16 to 74: Not available
- Number of individuals aged 75-89: Not available
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 aged 75-89? | X | ||
| Individuals older than 89? | 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 mandatory scope of the survey (for example individuals younger than 16 or older than 74; households with all members over 74 years old). | Not applicable | Not applicable |
| Approximate number of units outside the age scope 16 to 89, if the optional age scope 75 to 89 is included. |
Not applicable | Not applicable |
| Estimate of the resulting percentage of under-coverage (non-covered population compared to the total country), if applicable | Not applicable | Not applicable |
3.7. Reference area
The survey covers the whole territory of Montenegro.
3.8. Coverage - Time
Year 2025
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: The main reference period for the ICT background variables is moment of data collection. For the group of variables reference period is last three months before the interview. For set of the question reference period is last year.
5.1. Survey period
1 - 15 April 2025
6.1. Institutional Mandate - legal acts and other agreements
The legal basis for the 2025 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) 2024/2182 of 2 September 2024 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 2025 in accordance with Regulation (EU) 2019/1700 of the European Parliament and of the Council (OJ L - 2024/2182, 3 September 2024) and Commission Delegated Regulation (EU) 2024/2515 of 9 July 2024 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 2025 (OJ L, 2024/2515, 26 September 2024).
Complementary national legislation constituting the legal basis for the survey on the use of ICT in households and by individuals: The Law on Official Statistics and Official Statistical System (Official Gazette of Montenegro No 18/12, 47/19 and 23/25) defines provisions for collection, processing, and dissemination of data
6.2. Institutional Mandate - data sharing
Not applicable
7.1. Confidentiality - policy
Confidentiality and protection of statistical data are regulated by the Law on Statistics and Statistical System of Montenegro (''Official Gazette of Montenegro '' 18/12)
One of the fundamental principles the Law is based on is the principle of statistical confidentiality and use of personal data exclusively for statistical purposes.
7.2. Confidentiality - data treatment
Based on the Law on Statistics and Statistical System of Montenegro individual data on the natural or legal persons are confidential and represent an official secret. Data is confidential when allow direct or indirect identification of natural or legal persons.
In addition, regarding of quality of estimated indicators we calculate sampling errors.
Depending on the level of Sampling error (CV) and number of units data are published/not published at the different breakdown levels.
8.1. Release calendar
According to Statistical Release Calendar 2025 31 October 2025.
8.2. Release calendar access
The Statistical Release Calendar is the schedule of publishing the results of official statistics during one year. It is prepared by the Statistical Office in cooperation with the other producers of official statistics in accordance with Article 50 of the Law on Official Statistics and the Official Statistics System ("Official Gazette of Montenegro", No. 18/12, 047/19 and 23/25).
Based on the Statistical Release Calendar, users are informed in advance of the release dates on which the producers of official statistics have committed to publish statistics.
It is published on the website of the Statistical Office. Statistical Release Calendar
8.3. Release policy - user access
According to the statistical procedures all releases should be published at 11 am.
Annual
10.1. Dissemination format - News release
ICT usage in households - Releases
10.2. Dissemination format - Publications
10.3. Dissemination format - online database
Not available
10.3.1. Data tables - consultations
Not available
10.4. Dissemination format - microdata access
Statistical Office of Montenegro provides microdata without identifiers to the scientific researchers.
10.5. Dissemination format - other
Social networks (Twitter)
10.5.1. Metadata - consultations
Not applicable
10.6. Documentation on methodology
- Methodology.
- Methodological guidelines for interviewers.
- Eurostat model questionnaire.
- Eurostat Methodological Manual.
10.6.1. Metadata completeness - rate
82.5%
10.7. Quality management - documentation
Quality management, in general terms, includes the quality of the management of the statistical system and the production process, and in the narrow sense it guarantees the quality of the statistical result. Compliance of production processes throughout the institution form the ground for increasing productivity and for the permanent promotion of the quality of the statistical result itself. The Quality Management System of the Statistical Office relies on the European Statistics Code of Practice and the principles of Total Quality Management (TQM), which symbolize a common framework for the quality of the European Statistical System.
The focus of the Statistical Office of Montenegro metadata base is on reference metadata, which according to the various international metadata frameworks, describe and define the content of the data. Reference metadata covered by this system are located into the following modules:
- Surveys and data collections,
- Concepts and definitions.
11.1. Quality assurance
By introducing a quality management system, the Statistical Office will enhance the quality of statistical processes, final results and user satisfaction. Activities concerning permanent enhancement within a coherent and regulated system will lead to better efficiency of the production process and increase the quality of the statistical results themselves.
Output/Product Quality Criteria In line with the last five ES Code of Practice Principles, output quality in the ESS is assessed in terms of the following quality criteria:
- Relevance: outputs, meet the needs of users.
- Accuracy and Reliability: outputs accurately and reliably portray reality.
- Timeliness and Punctuality: outputs are released in a timely and punctual manner.
- Coherence and Comparability: outputs are consistent internally, over time and comparable between regions and countries; it is possible to combine and make joint use of related data from different sources.
- Accessibility and Clarity: outputs are presented in a clear and understandable form, released in a suitable and convenient manner, available and accessible on an impartial basis with supporting metadata and guidance.
- European Statistics Code of Practice.
- Commitment on Confidence.
- Quality Declaration.
- Quality Policy.
- The Quality Management Strategy.
- A Guidebook to the Implementation of a Quality Strategy.
11.2. Quality management - assessment
Overall assessment of data quality, based on standard quality criteria are based on national quality reports related to the survey.
In accordance with the principles of official statistics of Montenegro, producers of official statistics regularly and systematically monitor user satisfaction, so that the Statistical Office, as the coordinator of the statistical system.
12.1. Relevance - User Needs
International users:
- Eurostat;
- World Bank;
- UN organizations;
- International Monetary Fund
National users:
- Ministries and other public administration bodies;
- Local government, and other local government bodies;
- Central bank;
- Non-governmental organizations;
- Students;
- Researchers;
- Media.
12.2. Relevance - User Satisfaction
The Statistical Office has adopted the Quality Management Strategy, the Guidebook to the Implementation of the Quality Management Strategy, as well as the Plan for the Implementation of the Quality Policy. In order to measure the degree to which fulfils obligations towards users and within the new quality policy, the Statistical Office conducted User satisfaction survey. The results of the user satisfaction survey will be used as a basis for continuous work on improving the quality of results and services of official statistics, for the development of action plans in the field of quality assurance of the statistical system of Montenegro and improving user satisfaction.
The results of the survey are available on the Statistical Office website, link: User satisfaction report
12.3. Completeness
List of missing mandatory variables:
Degree of urbanisation
12.3.1. Data completeness - rate
98.5%
13.1. Accuracy - overall
In ICT usage survey results are based on the sample of population they are subject to the usual types of errors associated with sampling techniques and interviews, such as sampling errors, non-sampling errors, measurement errors, processing errors, and non-response.
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).
Analytic method and Taylor linearization are estimation method(s) used for the random variation of an estimator due to sampling.
Sampling error – formula:
Standard Error = √p̂(1-p̂) / n
- p̂: The estimate of proportion of individuals in the sample with a certain characteristic.
- n: The total number of individuals in the sample
Tools used to estimate sampling errors: CLAN
The method used to assess the standard errors takes into account the following specific effects:
- Unit non-response Variance estimation was calculated using final sample size of respondents, which therefore allow taking into account the loss of sample units due to unit non-response,
- Coverage errors (over-coverage, multiple listings) The sample frame is the Population Census 2011 and overcoverage is possible to estimate with design weights, at the level of Montenegro),
- Calibration The effect of calibration on variance is used, by taking into account the responding units as the sample size assuming MAR mechanism and by considering the final weights (in surveymeans procedure). Effects of re-weighting for non-response and effects of calibration was also reflected at final weights and used at the stage of variance estimation and sampling error estimation.
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): 712
Estimated proportion (in %): 38.7%
Standard error (in percentage points): 0.015
Details of the breakdowns are available in document INFOSOC_HHNSI_A_2025_ME in the Annexes below.
13.3. Non-sampling error
See more details on non-sampling error below.
13.3.1. Coverage error
Over-coverage occurs due to the inclusion of non-existent or uninhabited houses or the population that no longer lives in the country. Under-coverage is a problem that arises due to under-coverage or non-eligibility of the sample selection framework (e.g. non-inclusion of newly built flats that are settled, as well as non-inclusion of persons who arrive at a place with the intention to remain there for a year and longer). The under-coverage rate is difficult to estimate because it is not possible to know which units are not included in the target population.
13.3.1.1. Over-coverage - rate
4.5%
13.3.1.2. Common units - proportion
Not requested in the ICT survey.
13.3.2. Measurement error
- Measurement errors: Not available.
- Questionnaire design and testing: Not available.
- Interviewer training:
- MONSTAT has been training for interviewers for years. Interviewers are very well trained by responsible statisticians.
- Interviewers are provided with a detailed technical guideline for CAPI system functions and detailed methodological instructions.
- Proxy interview rates: Not applicable.
13.3.3. Non response error
Information about non-respondents: Not getting an answer - it is often unavoidable that respondents refuse to respond or reject the interview. In this case, there is a difference between the data obtained from the collected data (usually part of the planned sample) and those that would calculate that the complete sample was realized.
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 with at least one member aged 16 to 74 : 31.6%
- Households with at least one member aged 75 to 89, but no member aged 16 to 74: Not applicable
- Individuals (aged 16-74): 31.6%
- Individuals (aged 75-89): Not applicable
13.3.3.1.1. Unit non-response – sample sizes
| Number of households with at least one member aged 16-74 | Number of households with at least one member aged 75-89, but no member aged 16-74 | Number of individuals aged 16-74 |
Number of individuals aged 75-89 | Number of individuals (< 16) |
Number of individuals (> 89) |
|
|---|---|---|---|---|---|---|
| Gross sample [A] The number of households/individuals initially selected from the sampling frame (if not applicable, indicate why below the table) |
2805 | 2805 | ||||
| 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. |
128 | 128 | ||||
| Number of eligible elements [C] Gross sample size corrected of the ineligible cases |
2677 | 2677 | ||||
| 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. |
1831 | 1831 | ||||
| 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. |
68.4% | 68.4% |
Comments, if any:
13.3.3.1.2. Unit non-response – methods, minimization and substitution
- Methods used for dealing with unit non-response: Method which was used for dealing with unit non-response was correction factor in the weighting procedure.
- Methods used for minimizing unit non-response: The Statistical Office of Montenegro introduced the fieldwork control in order to reduce the unit non-response. The control is very important during the fieldwork because the main aim is to find households and persuade them to participate in the survey. The control is primarily done by responsible statisticians, and one of their responsibilities is to try to find different ways to convince households to participate, if they refuse.
- Substitution permitted: No.
- Substitution rate (in %): Not available.
13.3.3.2. Item non-response - rate
Items with low response rates (observed rates in %): Not applicable
13.3.4. Processing error
Not applicable
13.3.5. Model assumption error
Not applicable
14.1. Timeliness
Date of data dissemination at national level: The final data are published 7 months after the end of the reference period. The data are published in accordance with Statistical Release Calendar 31 October 2025.
14.1.1. Time lag - first result
Restricted from publication
14.1.2. Time lag - final result
Restricted from publication
14.2. Punctuality
The accuracy indicator represents the time difference between the actual date of the effective provision of the statistics and the scheduled date of the effective provision of the statistics. Deadlines of dissemination of the ICT data at the website are defined in the Statistical Release Calendar. Indicator TP3 (punctuality) is 0, there is no difference between the planned and the actual publication. That means that the Release is published in accordance with Statistical Release Calendar.
14.2.1. Punctuality - delivery and publication
Indicator TP3 (punctuality) is 0, there is no difference between the planned and the actual publication. That means that the Release is published in accordance with Statistical Release Calendar.
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: The data at the national level are comparable with countries that carry out the survey on the ICT usage according to the Eurostat methodology, implementing IESS regulation framework (EC) 2019/1700 and EU Regulation which are changed in accordance to the year of survey.
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 2025: Table 15.4.1. of document INFOSOC_HHNSI_A_2025_ME 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) 2024/2515 of 9 July 2024.
15.4.2. Survey questionnaire – optional questions
Adoption of OPTIONAL questions and items in the Eurostat model questionnaire 2025: Table 15.4.2. of document INFOSOC_HHNSI_A_2025_ME in the Annexes lists the optional questions from the annual Eurostat model questionnaire 2025 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 2025: Details of the questions are in document INFOSOC_HHNSI_A_2025_ME available in the Annexes below.
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
Statistical Office has adopted the revision policy and it is available on the website: Revision policy.
17.2. Data revision - practice
Published data are considered final except in the case of methodological changes and the introduction of new classifications, as a result which are subject to revision.
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 for ICT survey in households is base of Census of population, households and dwellings 2023 with data about settlement type, age, sex, address, name and surname of head of household.
Type of source: Face to face interviews
Survey vehicle: Stand-alone survey
Survey participation: Voluntary
Shortcomings: Census of population, households and dwellings 2023 was conducted in December 2023 and moment of sampling and conducting ICT survey was April 2025.
Because the data base for the frame is not updated regularly this affects the results as under or over coverage.
18.1.2. Sampling design
The sampling design is a probability design.
The survey is based on a two stage stratified random sample. Stratification is done using 4 regions and urban/rural.
Enumeration areas are the sampling units at the first stage (PSU). The sampling unit at the second stage is household.
The sampling unit at the ultimate stage are individuals.
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: CAPI.
- Short description of the survey method: Face to face interview.
- Variables completed from an external source: No variables have been completed from an external source.
18.4. Data validation
Logical controls, validation rules and standards in place at Eurostat.
18.5. Data compilation
Not available
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: None
18.5.3. Grossing-up procedures
Grossing up procedures have been applied to Individuals and/or Households: Households
Description of the weighting procedures: Weights are used to compensate unequal chances of different persons to be included in the sample. Calculation of weights is made in several successive steps. At first, so-called design weights are calculated. Since sampling of PSU is made with probabilities proportional to number of households, we will have that the inclusion probability at the first stage. At the second stage within each selected PSU households are sampled by simple random sampling procedure. Therefore, we have inclusion probability of household at the second stage. The design weight of a household is calculated as the inverse of its inclusion probabilities at first and second stage. The design weights are further adjusted according to the actual response level.
18.6. Adjustment
Not relevant
18.6.1. Seasonal adjustment
Not relevant
No comments.
The EU survey on the use of ICT in households and by individuals is an annual survey conducted since 2002. In Montenegro, it has been conducted since 2011.
In 2025, the survey collects data on the access to information and communication technologies (ICT), on the use of the internet, e-government use of electronic identification (eID) and e-commerce as well as e-skills and privacy and protection of personal data.
10 December 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, use of eID, e-commerce, e-skills and privacy and protection of personal data) 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 from standard ICT concepts
Households and Individuals
In the ICT usage survey, the target population for the different statistical units is:
- individuals: all individuals aged 16 to 74; optionally 75-to 89.
- households: all (private) households with at least one member aged 16 to 74; optionally with at least one member aged 75 to 89, but no member aged 16 to 74.
Target population composed of households and/or individuals:
- Number of households with at least one member aged 16-74: 199 296
- Number of individuals aged 16-74: 468 270
- Number of households with at least one member aged 75 to 89, but no member aged 16 to 74: Not available
- Number of individuals aged 75-89: Not available
The survey covers the whole territory of Montenegro.
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: The main reference period for the ICT background variables is moment of data collection. For the group of variables reference period is last three months before the interview. For set of the question reference period is last year.
In ICT usage survey results are based on the sample of population they are subject to the usual types of errors associated with sampling techniques and interviews, such as sampling errors, non-sampling errors, measurement errors, processing errors, and non-response.
Percentages of ‘Households’ and Percentages of ‘Individuals’
Not available
The source of the raw data is described with more details in the paragraphs below.
Annual
Date of data dissemination at national level: The final data are published 7 months after the end of the reference period. The data are published in accordance with Statistical Release Calendar 31 October 2025.
There is no problem of comparability across the country’s regions.
Possible limitations in the use of data for comparisons over time: The data at the national level are comparable with countries that carry out the survey on the ICT usage according to the Eurostat methodology, implementing IESS regulation framework (EC) 2019/1700 and EU Regulation which are changed in accordance to the year of survey.
