1.1. Contact organisation
Statistics Netherlands (CBS)
1.2. Contact organisation unit
Statistical Analysis Department
1.3. Contact name
Restricted from publication1.4. Contact person function
Restricted from publication1.5. Contact mail address
CBS-weg 11
6412 EX Heerlen, the Netherlands
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
26 November 20242.2. Metadata last posted
28 November 20242.3. Metadata last update
24 February 20253.1. Data description
The EU survey on the use of ICT in households and by individuals is an annual survey conducted since 2002. In the Netherlands, it has been conducted since 2005.
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: Onderzoek ICT gebruik bij huishoudens en personen, 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:
Questionnaire 2024_Dutch version
Questionnaire 2024_English version
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 classification is used.
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 differences in 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 deviation
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: 7.4 million households with at least one member of 16-74 year. Date register: 1 April 2024
- Number of individuals: 13.2 million individuals aged 16-74 years old living in private households. Date register: 1 April 2024
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? | Yes | 12 to 16 years | |
| Individuals older than 74? | Yes | Older than 74 years |
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 general scope of the survey (for example individuals younger than 16 or older than 74; households with all members over 74 years old). | No additional households for the age group 12-15 years 1.0 million households with only members of 75+ years |
0.8 million individuals aged 12-15 years 1.6 million individuals aged 75+ years |
| Estimate of the resulting percentage of under-coverage (non-covered population compared to the total country), if applicable | not applicable | not applicable |
The sampling frame is the Municipal Population Register (BRP). This population register contains all individuals who are registered in Dutch municipalities. It does not include homeless people or people living in institutions.
Advantage of using the Municipal Population Register is the actuality of information from the registered individuals. Information about birth, death, new addresses, household size is updated weekly and is incorporated in the mentioned register.
As drawing the sample has to be done 2 months before the data collection period, some deviation (such as moving, death) can occur.
3.7. Reference area
The geographic scope of the survey is the Netherlands (excluding the islands in the Caribbean that are part of the Kingdom of the Netherlands).
Territorial coverage: The sample covers the total population in the Netherlands, aged 12 years and older, living in private households and registered in the Municipal Population Register. This register is the sampling frame for statistics in the Netherlands.
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 refer to the 'last year' before the interview.
Deviation from this statement: No deviation
5.1. Survey period
Survey period: from 14 March to 27 June 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: No complementary national [NL] legislation
6.2. Institutional Mandate - data sharing
The microdata of 2024 survey will be not shared with data producing agencies or other agencies. There is no agreement to facilitate data sharing and exchange between data producing agencies within the national statistical system.
7.1. Confidentiality - policy
Statistics Netherlands is legally bound to apply strict confidentiality rules concerning the dissemination of statistical results. These rules are fully applied to the figures published as a result of this survey on the ICT use.
Statistics Netherlands cannot report any details on the methods used, but assures that no statistical information can be linked to any individual person.
The anonymized micro-dataset of 2024 will be made available to a selected number of national research institutes for possible research in the field of ICT by 2026.
7.2. Confidentiality - data treatment
The national policy of Statistics Netherlands regarding statistical confidentiality is applied here.
8.1. Release calendar
No release calendar available at this time about 2024 data.
Two tables about the results of 2024 are published online (only in Dutch).
Links: Online table e-commerce and Online table Internet usage and online activities
8.2. Release calendar access
Not applicable
8.3. Release policy - user access
Statistics Netherlands (CBS)’ mission is to compile official statistics and to publish the results. CBS makes these results accessible to the public through various channels (only in Dutch).
Annual
10.1. Dissemination format - News release
Statistics Netherlands publishes the national results on the website of Statistics Netherlands.
In addition, several press releases are written annually.
10.2. Dissemination format - Publications
Statistics Netherlands publishes the national results on the website of Statistics Netherlands.
In addition, a publication about the main results is written annually. This publication is a chapter in the national publication on ICT usage in the Netherlands.
Also, in the national publication, the results of other EU countries, as published by Eurostat, are frequently used for benchmarking the results of the Netherlands.
10.3. Dissemination format - online database
Statistics Netherlands publishes the national results on the website of Statistics Netherlands. Two online tables (e-commerce and activities) are available.
Links: Online table e-commerce and Online table Internet usage and online activities
10.3.1. Data tables - consultations
Not applicable
10.4. Dissemination format - microdata access
The anonymized micro-dataset of 2024 will be made available to a selected number of national research institutes for possible research in the field of ICT by 2026.
10.5. Dissemination format - other
No other dissemination
10.5.1. Metadata - consultations
Not available
10.6. Documentation on methodology
Links: Online table e-commerce and Online table Internet usage and online activities (only in Dutch).
10.6.1. Metadata completeness - rate
All questions are answered
10.7. Quality management - documentation
Links: Online table e-commerce and Online table Internet usage and online activities (only in Dutch)
11.1. Quality assurance
The Methodological Manual provides guidelines and standards for the implementation of the surveys in the Member States. It is updated every year according to the changed contents of the model questionnaires.
In order to ensure the quality of the data, the net sample size has been increased. From 2022 onwards Statistics Netherlands (SN) increased the net sample size to 4 800 (also to improve the quality of the breakdowns).
Some additional actions are also carried out in order to reduce unit non-response: sending sufficient reminders, lengthening the CAWI data collection period, dividing the CAWI fieldwork into three smaller portions instead of one portion, using incentives in the form of iPad lottery. Also, the expended weighting factors partially correct biases caused by unit non-response for target variables.
The rules of Statistics Netherlands regarding quality assurance were applied for this survey.
An evaluation was conducted (as every year) with the CATI interviewers and with the different departments involved in the survey, and lessons learned was summarized and will be used for next year.
11.2. Quality management - assessment
At European level, the recommended use of the annual Eurostat model questionnaire aims at improving comparability of the results among the countries that conduct the survey. Moreover, the Methodological Manual provides guidelines and clarifications for the implementation of the surveys in the Member States.
The whole project (data collection, data processing, and data analysing) has two project managers and several statisticians/researchers.
The project can be supported - if necessary - by a senior statistical researcher within the unit and - also if needed - by the methodological or IT department of SN.
No part of the work was subcontracted.
The data collection on ICT usage is a regular data collection. The possible problems can be:
- a low response rate: this is diverted by sending sufficient reminders, lengthening the CAWI data collection period, dividing the CAWI fieldwork into smaller portions instead of one portion, using incentives in the form of iPad lottery, and monitoring the fieldwork on the daily base.
- a misunderstanding by respondents of certain new questions. In the worst case it might be decided that the results of this question(s) will not be published.
- emergency (sickness, not meeting deadlines etc.): there are complementary resources available.
12.1. Relevance - User Needs
User of the national datatables, presented at statline tables, are ministries and researchers.
The need is reliable data on ICT usage by individuals for policy needs and for research.
Special requested information, if it is available and reliable, can be given to users (no dataset).
12.2. Relevance - User Satisfaction
Not applicable
12.3. Completeness
All mandatory variables are provided to Eurostat
12.3.1. Data completeness - rate
100%
13.1. Accuracy - overall
The accuracy of data collected with a sample survey is affected by measurement errors and non-response errors.
Measurement errors may arise if questions can be understood and interpreted in different ways or if the respondents do not give the requested information. The means by which measurement errors are reduced are the careful planning of the questionnaire forms, testing the form and interviewer training.
The survey’s non-response errors are classified into unit non-response and item non-response or partial non-response errors. Unit non-response means that target persons cannot be interviewed at all because they cannot be reached or refuse to be interviewed. Weighting coefficients are used to correct unit non-response.
Item non-response rate was not a problem as refusal to answer was not allowed.
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).
More information on methodology for calculating precision estimates is detailed in the paragraphs below.
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): 5154
Estimated proportion (in %): 94,7%
Standard error (in percentage points): 0,3
Details of the breakdowns are available in document 13.2.1. Sampling error (INFOSOC_HHNSI_A_NL_2024_0000_an_3) in the Annexes below.
Basic formula: the standard errors are derived using the variance formula for simple random sampling
= √ p*q
n
Annexes:
13.2.1. Sampling error
13.3. Non-sampling error
See more details on non-sampling error below.
13.3.1. Coverage error
The sampling frame for the social statistics surveys is the Dutch Population Register, which is updated every month. For the ICT survey, a two-stage sample is used.
13.3.1.1. Over-coverage - rate
Not applicable
13.3.1.2. Common units - proportion
Not requested in the ICT survey.
13.3.2. Measurement error
1) Measurement errors:
The sample survey is designed to meet the objectives as defined by the EU: (1) Dissemination of the results at the desired level of detail, (2) Anticipated estimated standard error of the results for the overall population and for the subgroups. The survey design is annually adjusted, based on the response rate of the previous year and the estimated standard error of the target variable.
2) Questionnaire design and testing:
Statistics Netherlands has a unimode questionnaire design for CAWI and CATI mode. Also the smartphone design was used and tested. At the end of the questionnaire respondents can give comments and their short evaluation about the questionnaire. Before starting fieldwork, the CAWI and CATI mode is tested and evaluated.
3) Interviewer training:
CATI interviewers got instruction about the questionnaire 2024 and followed an online training course about ICT 2024. The data-collection department is responsible for the interviewers.
4) Proxy interview rates:
No proxy
13.3.3. Non response error
Information about non-respondents: Main characteristics of non-respondents:
See detailed sections below.
The weighting procedure corrects for non-response. The weighting model is as follows: Gender(2) x [Age(13) + Age(3) x Marital status(2)] + Marital status(4) + Household size(5) + Ethnicity(3) + Income(4) + Urban density(5) + RegionPlus(16) + NUTS1(4) x Age(3) + Number of households.
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: Not applicable, see Individuals;
- Individuals (aged 16-74).
Number of in-scope non-respondents: 2581
Total number of in-scope: 8023
Unit non-response rate of individuals (aged 16-74): 2581/8023 = 32,2%
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) | See individuals | 13420 | 611 | 1181 |
| 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.E.g. when no dwelling exists at the selected address or a selected individual has died between the reference data of the sampling frame and the moment of the interviewPeople with no phone numbers or phone numbers are not used any more: they cannot be reached | See individuals |
906 4491 |
41 165 |
66 188 |
| Number of eligible elements [C]Gross sample size corrected of the ineligible cases | See individuals | 8023 | 405 | 927 |
| 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. | See individuals | 5442 | 303 | 616 |
| 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. | See individuals | 67,8% | 74,8% | 66,5% |
Comments:
Type of unit non-response (aged 16-74):
- Non-contact: 950.
- Refusal: 901.
- Inability to respond: 229.
- Other: 501.
13.3.3.1.2. Unit non-response – methods, minimization and substitution
Methods used for dealing with unit non-response:
SN uses calibration/weighting to control for non-response. Weighting procedure individuals: The subgroups for which weighting factors are calculated are based on the demographic variables: gender, age, marital status, urban density and region. These weighting factors partially correct biases caused by unit non-response for target variables, such as the use of internet and e-commerce. The weighting factor for households is the quotient of: the individual (aged 16-74) weighting factor / household size of individuals aged 16-74 in the population.
The weighting models is as follows: Gender(2) x [Age(13) + Age(3) x Marital status(2)] + Marital status(4) + Household size(5) + Etnicity(3) + Income(4) + Urban density(5) + RegionPlus(16) + NUTS1(4) x Age(3) + Number of households.
Methods used for minimizing unit non-response:
Data collection modes: A combination of data collection modes is applied. In the first step (CAWI: Computer Assisted Web Interviewing) is used for interviewing. In the second step (CATI: Computer Assisted Telephone Interviewing) is used. For the phone coverage, phone registers are used.
The policy of Statistics Netherlands (SN) is to apply CAWI mode in surveys as much as possible. This is in line with the European standards. However, the response-rate of CAWI is lower than the CAPI/CATI modes. This is also the reason that SN has a follow-up mode in social statistics surveys. In addition, SN can reach also respondents by using CATI who do not (or cannot: not enough skills) to participate online.
Data collection process: From 2014 onwards, SN introduces the CAWI data collection mode in the survey. People are invited to fill in the questionnaires online (invitation letters are sent with codes to log in). In case of non-response (after two reminders/rappels), people are phoned (CATI), if telephone numbers are available. In addition, different actions are addressed during the fieldwork in order to reduce non-response, such as lengthening the CAWI period, dividing the CAWI portion into smaller ones and using iPad lottery.
Substitution permitted: No substitution, no proxy interview.
Substitution rate (in %): No substitution.
13.3.3.2. Item non-response - rate
Items with low response rates (observed rates in %):
"Don't know" as answer option is not allowed for the survey questions. Only for some background variables. No question/variable has response rate below 95%.
As every year, also in 2024, there are some missing values for some background and breakdown variables: ISCO2D and NACE1D
It is an essential note for the breakdown variables: if the total is calculated by summing up variables with missing values, there will be always differences between the results of the summing up and the total population without summing up, because of the missing values.
13.3.4. Processing error
Data quality control:
Item non-response is very low, and is only allowed for some background variables (every year). Data processing is mainly automated. Data-checks are developed for new modules. Standard error analyses is conducted in order to ensure the sampling remain below the prescribed limits.
13.3.5. Model assumption error
Not applicable
14.1. Timeliness
Date of data dissemination at national level:
- End of fieldwork: 27 June 2024;
- First official delivery in EDAMIS: 3 September 2024.
14.1.1. Time lag - first result
Restricted from publication14.1.2. Time lag - final result
Restricted from publication14.2. Punctuality
See detailed sections below
14.2.1. Punctuality - delivery and publication
Target day: 5 October 2024
The first data set was sent to Eurostat on 3 September 2024
Final delivery: 26 September 2024
9 days before 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: No limitation
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 15.4.1. mandatory questions NL 2024 (INFOSOC_HHNSI_A_NL_2024_0000_an_4) 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.
The detailed information is available in the file attached in the Annex. See below.
Annexes:
15.4.1 mandatory questions NL 2024
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 15.4.2. optional questions NL 2024 (INFOSOC_HHNSI_A_NL_2024_0000_an_5) 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.
Annexes:
15.4.2 optional question NL 2024
15.4.3. Survey questionnaire – additional questions at national level
Additional questions introduced in the national questionnaire in 2024:
- Receiver for digital radio: 2 questions if they have heard about it and if they have it;
- Devices: smartphone, tablet, laptop, personal computer and other devices;
- Using ChatGPT: 1 question about using ChatGPT.
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.
17.1. Data revision - policy
No revisions are planned. Data have a final status from the first time they are published
17.2. Data revision - practice
In case we need to correct a value, we republish the tables on Statline with an explanation what has changed.
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
Name and short description of the sampling frame or register used:
The sample covers the total population in the Netherlands, aged 12 years and older, living in private households and registered in the Municipal Population Register. (BRP). This population register is the sampling frame for statistics in the Netherlands.
The sampling frame is the Municipal Population Register (BRP). This population register contains all individuals who are registered in Dutch municipalities. It does not include homeless people or people living in institutions.
Advantage of using the Municipal Population Register is the actuality of information from the registered individuals. Information about birth, death, new addresses, household size is updated weekly and is incorporated in the mentioned register.
As drawing the sample has to be done 2 months before the data collection period, some deviation (such as moving, death) can occur.
18.1.2. Sampling design
The sampling design is a probability design.
The sampling design is not a complex design and can be seen as SRS. Two stages are included.
In the first stage NUTS3 is used as stratification variable. Then municipalities are selected. Large municipalities being selected with a probability of 1. All the other municipalities are selected at random, taking into account the size of the municipalities. In the second stage the number of individuals, as determined for every municipality, are selected. Individuals from 12 years and older are selected.
18.1.3. Net effective sample size
Restricted from publication18.2. Frequency of data collection
Annual
18.3. Data collection
1) Methods used to gather data:
Data collection modes: A combination of data collection modes is applied. In the first step (CAWI: Computer Assisted Web Interviewing) is used for interviewing. In the second step (CATI: Computer Assisted Telephone Interviewing) is used. For the phone coverage, phone registers are used.
The policy of Statistics Netherlands (SN) is to apply CAWI mode in surveys as much as possible. This is in line with the European standards. However, the response-rate of CAWI is lower than the CAPI/CATI modes. This is also the reason that SN use a follow-up mode in social statistics surveys. In addition, we can reach also respondents who do not (or cannot: not enough skills) participate online.
2) Short description of the survey method:
Data collection process: From 2014 onwards, Statistics Netherlands (SN) introduces the CAWI data collection mode in the survey. People are invited to fill in the questionnaires online (invitation letters are sent with codes to log in). In case of non-response (after two reminders/rappels), people are phoned (CATI) if telephone numbers are available. In addition, different actions are addressed during the fieldwork in order to reduce unit non-response, such as lengthening the CAWI period, dividing the CAWI portion into smaller ones and using iPad lottery.
3) Variables completed from an external source:
Some background variables as described before
18.4. Data validation
We will use the validation tool provided by Eurostat plus an in-house developed tool for a year to year comparison
Data processing, evaluation, data analysing and data delivery
After closing the fieldwork, data files are checked, information is linked to register data, inconsistencies repaired and plausibility checks are done
- Calibration/weighting takes place
- Results are compared (year to year check)
- Micro-data is prepared to Eurostat
- Micro-data delivery
- Evaluation takes place with interviewers and within the organisation
- Publishing results
18.5. Data compilation
Not relevant
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): No imputation.
- Imputation rate (share of estimate): No imputation.
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:
The grossing-up procedure for individuals was enclosed in the weighting procedure. All variables used in this procedure are containing the population numbers on 1 April 2024.
Description of the weighting procedures:
he subgroups for which weighting factors are calculated are based on the demographic variables and socio-economic variables: gender, age, marital status, ethnicity, income, size of household, urban density and region.
These weighting factors partially correct biases caused by unit non-response for target variables, such as the use of internet and e-commerce.
The weighting factor for households is the quotient of: the individual (aged 16-74) weighting factor / household size of individuals aged 16-74 in the population.
The weighting model is as follows: Gender(2) x [Age(13) + Age(3) x Marital status(2)] + Marital status(4) + Household size(5) + Ethnicity(3) + Income(4) + Urban density(5) + RegionPlus(16) + NUTS1(4) x Age(3) + Number of households.
The weighting factor for households is the quotient of: the individual weighting factor / household size of individuals aged 16-74 in the population.
18.6. Adjustment
Not relevant
18.6.1. Seasonal adjustment
Not relevant
As every year, also in 2024, there are some missing values for some background and breakdown variables:
It is an essential note for the breakdown variables: if the total is calculated by summing up variables with missing values, there will be always differences between the results of the summing up and the total population without summing up, because of the missing values.
The EU survey on the use of ICT in households and by individuals is an annual survey conducted since 2002. In the Netherlands, it has been conducted since 2005.
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: No deviation
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: 7.4 million households with at least one member of 16-74 year. Date register: 1 April 2024
- Number of individuals: 13.2 million individuals aged 16-74 years old living in private households. Date register: 1 April 2024
The geographic scope of the survey is the Netherlands (excluding the islands in the Caribbean that are part of the Kingdom of the Netherlands).
Territorial coverage: The sample covers the total population in the Netherlands, aged 12 years and older, living in private households and registered in the Municipal Population Register. This register is the sampling frame for statistics in the Netherlands.
For most questions the reference period is the last three months before the interview. Questions in the modules on e-government refer to the 'last year' before the interview.
Deviation from this statement: No deviation
The accuracy of data collected with a sample survey is affected by measurement errors and non-response errors.
Measurement errors may arise if questions can be understood and interpreted in different ways or if the respondents do not give the requested information. The means by which measurement errors are reduced are the careful planning of the questionnaire forms, testing the form and interviewer training.
The survey’s non-response errors are classified into unit non-response and item non-response or partial non-response errors. Unit non-response means that target persons cannot be interviewed at all because they cannot be reached or refuse to be interviewed. Weighting coefficients are used to correct unit non-response.
Item non-response rate was not a problem as refusal to answer was not allowed.
Percentages of ‘Households’ and Percentages of ‘Individuals’
Not relevant
The source of the raw data is described with more details in the paragraphs below.
Annual
Date of data dissemination at national level:
- End of fieldwork: 27 June 2024;
- First official delivery in EDAMIS: 3 September 2024.
There is no problem of comparability across the country’s regions.
Possible limitations in the use of data for comparisons over time: No limitation