Skip to content
Search dst.dk

    Statistical processing

    Contact info

    Science, technology and culture
    Anne Vibeke Jacobsen
    +45 20 14 84 28

    avj@dst.dk

    Get as PDF

    ICT Usage in Households and by Individuals

    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 correct possible biases. The calculations are done by a regression estimator.

    Source data

    The survey is questionnaire-based. The EU part of the survey is based on the results of approximately 3,800 conducted interviews - collected in May-August 2024, among a representative sample of the Danish population aged 16-74 years.

    The national part of the study is based on the results of approximately 4,000 completed interviews collected in May-August 2024, among a representative sample of the Danish population aged 15-89 years.

    Data for tables related to the theme "Rural and urban" (e.g. LABY##) are retrieved from https://www.klimadatastyrelsen.dk.

    Frequency of data collection

    The data is collected annually.

    Data collection

    Web form and telephone interviews.

    Data for tables related to the theme "Rural and urban" (e.g. LABY##) are retrieved from https://www.klimadatastyrelsen.dk.

    Data validation

    The data is compared to last years results.

    Data compilation

    Data is compared with results from the previous year and checks are made to see if filters are correct.

    After collecting the data, the sample is grouped into, among other things gender, age, marital status, family composition and gross income. Within each group is calculated by multiplying by a person's weight. The person weight is calculated by looking at the ratio between the total number of people in the CPR and the number of respondents in the group. This weight is then adjusted up and down according to the composition of the enumeration population with a regression estimate. The use of this method partially corrects for skewed non-attrition in the sample.

    Adjustment

    No further corrections are undertaken than those already described under validation and treatment.

    Statistical presentation

    Relevance