1.1. Contact organisation
Statistics Denmark
1.2. Contact organisation unit
Digital Economy and Society
1.3. Contact name
Restricted from publication1.4. Contact person function
Restricted from publication1.5. Contact mail address
Statistics Denmark, Sankt Kjelds Plads 11, DK-2100 Copenhagen Ø
1.6. Contact email address
Restricted from publication1.7. Contact phone number
Restricted from publication1.8. Contact fax number
Restricted from publication2.1. Metadata last certified
10 December 20242.2. Metadata last posted
10 December 20242.3. Metadata last update
10 December 20243.1. Data description
The EU survey on the use of ICT in households and by individuals is an annual survey conducted since 2002. In Denmark, it has been conducted since 2001.
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: IT-anvendelse i befolkningen 2024
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.
Annexes:
National questionnarie in Danish
National questionnarie in English
3.2. Classification system
The following common concepts and definitions apply under the Integrated European Social Statistics (IESS):
- the International Standard Classification of Education (ISCED) 2011 published in the following breakdowns: low (ISCED levels 0-2: no formal education, primary education or lower secondary education), medium (ISCED levels 3-4: upper secondary or post-secondary non-tertiary education) and high (ISCED levels 5-6: tertiary programmes which normally need a successful completion of ISCED 3 or 4, or second-stage tertiary education leading to an advanced research qualification);
- the International Standard Classification for Occupation ISCO-08 at the 2-digit level;
- the Classification of Economic Activities (NACE Rev.2-2008), at section level;
- the Common classification of territorial units for statistics (NUTS 1) – finer granularity of NUTS 2 is provided on optional basis by some Member States;
- the SCL – Geographical code list;
- information about household income is provided at lower level of detail.
Additional classifications used in the national questionnaire: NONE
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
None
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: NONE
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: 2,461,415
- Number of individuals: 4,346,575
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 | 13 | 27 |
| 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). | 372.825 | 1,614.674 |
3.7. Reference area
Denmark
3.8. Coverage - Time
Year 2024
3.9. Base period
Not applicable
Percentages of ‘Households’ and Percentages of ‘Individuals’
For most questions the reference period is the last three months before the interview. Questions in the modules on e-government and eID refer to the 'last year' before the interview.
5.1. Survey period
3 May 2024 - 11 August 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: None. The survey is voluntary for participants in Denmark
6.2. Institutional Mandate - data sharing
Micro data is not shared between agencies in the national statistical system. There is only one statistical office in Denmark.
Micro data is not shared in any other ways than:
- micro data transmission to Eurostat
- micro data access via Research services in Statistics Denmark, where government agencies, academia and other qualified and approved users can access micro data.
7.1. Confidentiality - policy
Statistics Denmark has extensive procedures and systems to protect the information on Danish citizens and enterprises in our systems, and staff focus on continuously ensuring maximum data security.
Measures taken are aimed at two types of risks: external, e.g. hackers, and internal, i.e. from employees and from users with special permission to use data with us.
Please consult the page on Information security and data confidentiality
7.2. Confidentiality - data treatment
- External users, e.g. research scientists, must be approved and only have access to information where civil registration numbers (CPR numbers or the national ID numbers) etc. have been replaced with serial numbers that do not allow you to identify people.
- When external users use Statistics Denmark’s data, staff continuously log and check if they comply with data confidentiality requirements. Non-compliance may result in exclusion from using data in Statistics Denmark.
Please consult the documents on Data for researchers, access to micro data
8.1. Release calendar
The publication date appears in the release calendar. The date is confirmed in the weeks before.
8.2. Release calendar access
The Release Calendar can be accessed on the English website. The access is public.
8.3. Release policy - user access
Statistics are always published at 8:00 a.m. at the day announced in the release calendar. No one outside of Statistics Denmark can access the statistics before they are published.
Annual
10.1. Dissemination format - News release
News release on 2 September 2024 (in Danish only) announcing the update of the public tables and describing main results regarding the use of Social Media.
10.2. Dissemination format - Publications
Apart from one or several news releases a comprehensive yearly publication is released each year (in Danish only). The publication covers all modules of the survey. The publication includes a preface in English.
10.3. Dissemination format - online database
The dissemination data can be accessed free of charge in Statbank Denmark, where users can find, combine and save data, including graphics e.g. figures based on the data. Tables were updated in September 2024 with 2024 data. Tables are placed under the newly reorganized theme ''Culture and Leisure, Digital behaviour and cultural habits'.
List of tables:
- [BEBRIT07]: Purchase via internet - per cent of the population (16-74 years) by type, latest purchase and time
- [BEBRIT02]: Latest use of internet - per cent of the population (16-74 years) by type, latest use and time
- [BEBRIT08]: E-commerce during the past year by type, product and time
- [FABRIT01]: Access to computer and internet in by household type - by type, access and time
- [BEBRIT09]: Use of internet for private purposes - per cent of the population(16-74 years) by type, internet activity and time
- [BEBRIT11]: E-commerce by type of sellers by type, sellers and time
- [BEBRIT21]: Use of internet for private purposes - per cent of the population (16-74) by type, equipment and behaviour when replacing
- [BEBRIT22]: Considerations when buying IT equipment - per cent of the population (16-74) by type and consideration when buying
10.3.1. Data tables - consultations
The number of data extractions from StatBank tables showing the results of ICT HH DK 2024 was close to 4,000 between August-December 2024.
10.4. Dissemination format - microdata access
Data is disseminated in micro data form through Statistics Denmark's Research Services.
To facilitate register-based research, Statistics Denmark gives user access to de-identified micro data, i.e. data on person, family, household, workplace or company level. Access is given as secure remote access to servers at Statistics Denmark from the users' own computer through the Internet.
10.5. Dissemination format - other
Other means used to disseminate the data include press releases and analyses done by main national users, OECD, ITU and Eurostat.
For an example to other means of dissemination please refer to Trust in public services. (in Danish only).
10.5.1. Metadata - consultations
Metadata information collected in the statistical documentation for 2024 was published in August 2024. Since the publication date, over 100 consultations of metadata related to the ICT HH survey 2024 edition have been registered.
10.6. Documentation on methodology
The publicly available national documentation (metadata) is based on SIMS and its content is very similar to the quality report delivered to Eurostat via the ESS Metadata Handler.
10.6.1. Metadata completeness - rate
100 percent according to Statistic Denmark's requirements.
10.7. Quality management - documentation
Results from the quality evaluation of products and selected processes are available in detail for each statistics and in summary reports for the Working Group on Quality.
11.1. Quality assurance
Statistics Denmark follows the principles in the Code of Practice for European Statistics (CoP) and uses the Quality Assurance Framework of the European Statistical System (QAF) for the implementation of the principles. This involves continuous decentralized and central control of products and processes based on documentation following international standards. The central quality assurance function reports to the Working Group on Quality. Reports include suggestions for improvement that are assessed, decided and subsequently implemented.
11.2. Quality management - assessment
The quality of the survey in general is appraised to be high.
In 2024, the survey results are based on responses from 3,799 respondents aged 16-74 years. This number is almost double of the required sample size according to the precision requirement.
The survey is based on simple random sample and therefore the results are subject to a sampling error.
Accuracy and error calculations have been produced and are attached in section 13.2. Sampling error.
12.1. Relevance - User Needs
The survey is used by academia, consultancies, students, researchers, counties and ministries. Furthermore it is the subject of considerable attention from the media. The survey can be used to cover developments in digitalisation. Finally, the survey is used in both Nordic and European collaboration.
At European level, European Commission users (e.g. DG CONNECT, DG GROW) are the principal users of the data on ICT usage and contribute in identifying/defining the topics to be covered. Hence, main users are consulted regularly (at hearings, task forces, ad hoc meetings) for their needs and are involved in the process of the development of the model questionnaires at a very early stage. User needs are considered throughout the whole discussion process of the model questionnaires aiming at providing relevant statistical data for monitoring and benchmarking of European policies.
Statistical Denmark has an on-going dialogue with a variety of national users about the contents and usage of the survey. The Contact Committee for the Digital Society, whose members represent central national users is used as a framework for the dialogue.
12.2. Relevance - User Satisfaction
Users are regularly consulted about the contents of the statistics. The number of hits (consultations) on the data tables and news releases is being monitored to assess the usefulness of the data. In general, these numbers are very high compared to the average number of consultations across all statistics. The number of articles, news releases covering results from the survey are also monitored and studied. The survey on ICT use by individuals is one of the most used statistics produced by Statistics Denmark. No formal user satisfactory survey is conducted. Nevertheless, main users from ministries and other organizations, as well as researchers and journalists, generally express satisfaction with the quality and relevance of the survey results.
12.3. Completeness
All mandatory variables have been collected and transmitted apart from one variable:
- GALI: Limitation in activities because of health problems
12.3.1. Data completeness - rate
99 percent of the mandatory variables
13.1. Accuracy - overall
Overall accuracy is estimated to be high due to large sample size, representativity of the sample, quality of the frame and actions taken to reduce non-sampling errors. The survey is based on a simple randomly selected sample, and the results are therefore subject to statistical uncertainty. For the entire population's access to the internet, however, the uncertainty is limited, as the degree of coverage here is high. In general, the degree of coverage is rather high in Denmark where ICT use is more common than in other EU countries. The uncertainty reflects variations in the collected data in relation to the sample size. The number of completed answers in the sample exceeds the number of answers necessary according to the precision requirement. This further increases the overall accuracy of the survey.
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. Calculation of the variance estimation (sampling error) is done by using regression estimation where auxiliary variables are used in the estimation process. The estimation of the sampling variance takes into account the sampling design. In the regression estimator it is assumed that the study variable can be explained by J auxiliary variables, X1 to XJ, according to the linear regression model. The estimation method used for the random variation of an estimator due to sampling is Taylor linearization. Please see the document annexed below.
References to literature in the methodology used:
- Särndal, C.-E., Swensson, B. and Wretman, J. (1992). Model Assisted Survey Sampling, Springer-Verlag.
- Andersson, Claes and Nordberg, Lennart. CLAN − A SAS-PROGRAM FOR COMPUTATION OF POINT- AND STANDARD ERROR ESTIMATES IN SAMPLE SURVEYS
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): 3,464
Estimated proportion (in %): 90,84
Standard error (in percentage points): 0,51
Details of the breakdowns are available in document “Standard errors – Mandatory – Optional questions_DK – 2024” in the Annexes below.
13.3. Non-sampling error
See more details on non-sampling error below.
13.3.1. Coverage error
Negligible divergence between the target population and the frame population is ensured by utilizing a high quality register as frame population and high participation in the survey. The register used is called Central Person Register CPR is updated daily and contains all individuals with a registered address in Denmark.
All authorities with which the CPR is in contact have been allocated a four-ciphered code. The codes are used for registration such that the CPR serves as an index to the authorities responsible for registering basic data. The authorities responsible for basic data are also obliged to report administrative changes, e.g. amalgamation of parishes, counties, etc., directly to the CPR, such that the register of authorities is up-to-date. With the modernization of the CPR it was possible to update the system on-line in the local civil registration offices. Therefore the CPR is updated in real-time all year round, in other words: 365x24x7.
13.3.1.1. Over-coverage - rate
No over-coverage.
13.3.1.2. Common units - proportion
Not requested in the ICT survey.
13.3.2. Measurement error
Measurement errors: Built-in filters in both CATI and CAWI questionnaires ensure that respondents are only asked questions that are relevant based on their answers to the previous questions. This mechanism ensures consistency in the responses and minimizes measurement errors. E.g. a respondent who has answered 'No' to Internet use, will not get questions on Internet activities. All filters in the questionnaire have worked as intended.
Questionnaire design and testing: Extensive testing of the questionnaire both in CAWI and CATI versions has been performed to avoid possible errors and sources of uncertainty. No errors arising from multi-mode and/or multi-source data collection have been detected. There can be some measurement errors due to very long and sometimes complex questionnaires as respondents become less motivated to make an effort and answer as correctly as possible. Some questions can be difficult to answer due to having to rely on memory (e.g. items purchased in the past three months). To minimize this problem the number of additional national questions has been strongly reduced from previous years. Another source of error are questions which are relevant for a majority of EU member states but not for Denmark. E.g. question C1b) Downloading/printing official forms is not reflecting the current situation/technology used in Denmark, where download is not necessary any more. Many public services obtain information from citizens via apps without citizens having to download official forms.
Interviewer training: CATI interviewers have undergone a short training to ensure that they full understand the content of the questionnaire.
Proxy interview rates: No proxy interviews are conducted in Denmark for this survey.
13.3.3. Non response error
Information about non-respondents: Response rates are falling in general. Response rates are lower among young people and individuals with another ethnic background than Danish. The use of auxiliary register information in the estimation process attempts to remedy the bias caused by the substantial unit non-response, the cost of bias reduction being larger standard 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: 70 %
- Individuals (aged 16-74): 70 %
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) | 12,457 | 12,484 | 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 | ||
| Number of eligible elements [C]Gross sample size corrected of the ineligible cases | 12,457 | 12,484 | ||
| 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. | 3,792 | 3,799 | ||
| 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. | 0.30 | 0,30 |
Comments, if any:
13.3.3.1.2. Unit non-response – methods, minimization and substitution
Methods used for dealing with unit non-response: Weighting survey data with CLAN.
Methods used for minimizing unit non-response: Invitation letters (one version for younger respondents aged 16-64 and one version for respondents aged 65+) + 3 digital reminder letters if possible, otherwise the letters were posted instead. In addition up to five phone calls were made by interviewers in case of non-response.
Substitution permitted: No.
Substitution rate (in %): Not relevant.
13.3.3.2. Item non-response - rate
Items with low response rates (observed rates in %): Item non-response is not possible as respondents can only proceed with the interview if they have answered the previous question. Incomplete answers are not used to calculate the results.
13.3.4. Processing error
None known
13.3.5. Model assumption error
Not applicable
14.1. Timeliness
Date of data dissemination at national level: National publication of all results was on 2 September 2024.
14.1.1. Time lag - first result
Restricted from publication14.1.2. Time lag - final result
Restricted from publication14.2. Punctuality
The deadline for data delivery was 5 October 2024, and DK provided the data on 16 October 2024, that is, 11 days after the deadline.
14.2.1. Punctuality - delivery and publication
The results of the survey were published without delay in relation to the scheduled deadline
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 survey has been carried out since January 2001. A large part of the indicators have been replaced with others to be able to measure the newest trends in ICT. Key figures are comparable over time. The survey replaces the survey Personal computers and access to the Internet (Pc'ere og adgang til internet), carried out from May 1997 to the end of 2000. There have not been any changes in methodology that may have an impact on the comparability over time of the results delivered to Eurostat. The survey type, the reference sampling frame, scope and grossing-up method have been the same for a high number of years.
A large share of indicators is not collected annually and are only available every second or third year. This is in line with the EU Model questionnaire and the regulation addressing the 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 2024:
Table 15.4.1. of document “Standard errors – Mandatory – Optional questions_DK – 2024” in the Annexes lists the questions for which the coverage of subjects and characteristics reflected in the national questionnaire differs from Annex 2 of the Commission Delegated Regulation (EU) 2023/1797 of 7 July 2023).
15.4.2. Survey questionnaire – optional questions
Adoption of OPTIONAL questions and items in the Eurostat model questionnaire 2024:
Table 15.4.2. of document “Standard errors – Mandatory – Optional questions_DK – 2024” in the Annexes lists the optional questions from the annual Eurostat model questionnaire 2024 included in the national questionnaire and their coverage for age groups beyond the standard scope.
15.4.3. Survey questionnaire – additional questions at national level
Additional questions introduced in the national questionnaire in 2024:
- Gambled online to win money.
- Used apps to avoid food waste.
- Used green apps to live more environmentally friendly.
- AI.
Details of the questions are in document “Standard errors – Mandatory – Optional questions_DK – 2024” available in the Annexes below.
15.4.4. Survey questionnaire – deviations
Effects of deviations from the routing used in the Eurostat model questionnaire: None. The structure of the national and the model questionnaire are the same. Only few national answer options are added regarding internet activities.
17.1. Data revision - policy
No data revision. Only final indicators are published.
17.2. Data revision - practice
Only final indicators are published.
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
The survey's population covers individuals between 16 and 74 years old resident in Denmark (excluding Greenland and the Faeroe Islands), according to the register named The Central Register of Persons (Det Centrale Personregister, CPR). The sampling frame is Statistics Denmark’s population register, CPR, which is updated daily. This register (CPR) contains all individuals with a registered address in Denmark. The register covers birth date, sex, address, and family relations. The CPR is updated several times a day. The survey is a stand-alone voluntary survey.
18.1.2. Sampling design
The sampling unit at first stage is Individuals. No self-representing Primary Sampling Units (PSUs) are included, the sample is a one stage simple random sampling. The sampling units are individuals in the CPR register aged 16-74 years.
There is no longitudinal component included in the sampling design.
18.1.3. Net effective sample size
Restricted from publication18.2. Frequency of data collection
Annual
18.3. Data collection
) Methods used to gather data:
CATI and CAWI combined mode
2) Short description of the survey method:
CATI and CAWI combined data collection method is used to reduce response burden and increase response rates. Initial contact by e-mail in eBoks, the mailbox all citizens 15+ years are obliged to use. At least 5 and maximum 7 re-contacts by e-mail, paper mail or phone. This time consuming practice ensures improved representativity, quality data with lower unit non-response rates and standard errors. Both CAWI and CATI is programmed with built-in filters in accordance with routing structure in model questionnaire (MQ). All filters in the MQ are automatically taken into account. Extensive testing ensures that data is collected according to specifications laid down in the regulation.
The proportion of answers collected by CATI is 20%. The rest (80%) is collected with CAWI.
3) Variables completed from an external source:
Auxiliary variables are collected from registers. Since Denmark has well updated registers covering the requested background variables, register data is often used instead of direct response. Register data is available on all required breakdowns apart from contract work and perceived health. For the 2024 survey the following auxiliary variables were used: 'Income', 'Education level', 'Family structure', 'Marital status', 'Geographical data', 'Country of origin', 'Citizenship' and 'Occupation'.
18.4. Data validation
The design and extensive testing of the CATI and CAWI questionnaires (built-in checks) minimizes routing errors and makes it impossible to complete an answer without answering all questions. Year to year checks are applied to monitor the answers. No answer is corrected or imputed. Micro data is undergone Eurostat data validation standards (no validation errors on December 2024).
18.5. Data compilation
The grossing up procedure utilizes background variables and provides some adjustment for non-response. There is no imputation. Information on background variables is merged with answers with the help of a unique ID (CPR number) that is both available in the frame population and in the various registers.
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 applied.
18.5.3. Grossing-up procedures
Grossing up procedures have been applied to: both Individuals and Households with the help of two different weights.
Description of the weighting procedures:
The weighting and subsequent estimation of standard error - based on Taylor linearization - is done using the software package CLAN, a collection of SAS macros developed by Statistics Sweden. CLAN utilizes correlation between auxiliary and study (ICT) variables in the regression estimation. Denmark has well updated and extensive registers providing accurate and reliable data on each citizen.
The final weights are determined using calibration estimation. Weighting aligns the response data to the frame totals grouped in a number of demographic, income and social register variables:
- Gender and age (age in six categories).
- Civil status (four categories).
- Ethnicity (two categories).
- Educational (four categories).
- Income (four categories).
- Socio-economic status (three categories).
The use of auxiliary register information in the estimation process attempts to remedy the bias caused by unit non-response; the cost of bias reduction is slightly larger standard errors. The results of the survey are grossed-up to ensure their representativeness. After collecting the data, the sample is grouped by a number of background variables, such as age and gender. Each answer gets a 'weight' that corrects possible biases. The calculations are done by a regression estimator.
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 Denmark, it has been conducted since 2001.
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.
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: NONE
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: 2,461,415
- Number of individuals: 4,346,575
Denmark
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.
Overall accuracy is estimated to be high due to large sample size, representativity of the sample, quality of the frame and actions taken to reduce non-sampling errors. The survey is based on a simple randomly selected sample, and the results are therefore subject to statistical uncertainty. For the entire population's access to the internet, however, the uncertainty is limited, as the degree of coverage here is high. In general, the degree of coverage is rather high in Denmark where ICT use is more common than in other EU countries. The uncertainty reflects variations in the collected data in relation to the sample size. The number of completed answers in the sample exceeds the number of answers necessary according to the precision requirement. This further increases the overall accuracy of the survey.
Percentages of ‘Households’ and Percentages of ‘Individuals’
The grossing up procedure utilizes background variables and provides some adjustment for non-response. There is no imputation. Information on background variables is merged with answers with the help of a unique ID (CPR number) that is both available in the frame population and in the various registers.
The source of the raw data is described with more details in the paragraphs below.
Annual
Date of data dissemination at national level: National publication of all results was on 2 September 2024.
There is no problem of comparability across the country’s regions.
Possible limitations in the use of data for comparisons over time:
The survey has been carried out since January 2001. A large part of the indicators have been replaced with others to be able to measure the newest trends in ICT. Key figures are comparable over time. The survey replaces the survey Personal computers and access to the Internet (Pc'ere og adgang til internet), carried out from May 1997 to the end of 2000. There have not been any changes in methodology that may have an impact on the comparability over time of the results delivered to Eurostat. The survey type, the reference sampling frame, scope and grossing-up method have been the same for a high number of years.
A large share of indicators is not collected annually and are only available every second or third year. This is in line with the EU Model questionnaire and the regulation addressing the survey.