Statistical processing

Source data

Municipalities report data on disability compensation measures for children and young people to Statistics Denmark, which acts as data processor on behalf of the Ministry of Social Affairs and Housing.

Data is reported either through system-to-system solutions from the municipalities’ administrative specialist systems or via the web reporting solution, IDEP.

Municipalities can access the reported data through the web reporting interface for the statistics, available via Virk.dk: webindberetningsløsning.

Frequency of data collection

Data are collected continuously from the 98 municipalities in Denmark. In some few cases, the data are collected on a monthly or yearly basis.

Data collection

Data are transmitted primarily through the computerized administrative systems of the municipalities, which transmit data directly to Statistics Denmark. As an alternative, the municipalities can use a web-based platform, provided by Statistics Denmark: webindberetningsløsning, IDEP.

All reported data is collected daily in a web-based database provided by Statistics Denmark, which is also accessible to the municipalities.

Data validation

Data in the statistics is validated annually in cooperation with the municipalities. At the start of the validation process, Statistics Denmark produces municipality-specific lists showing counts of children and young people by each type of measure, as well as the number of disability compensation measures broken down by type, based on the longitudinal register without provider information.

These lists are used by each municipality to verify and approve that the reported data corresponds to the municipality’s actual situation. Municipalities have daily access to these lists via the web reporting system, IDEP.

If a municipality rejects the accuracy of the lists, Statistics Denmark and the municipality engage in dialogue and work to resolve discrepancies until both parties approve the data.

As a general rule, data that has not been approved is included in the publication but accompanied by a note identifying which municipalities have not approved their data. If discrepancies are substantial, it may be decided to exclude data from the relevant municipality in the publication.

If a municipality cannot approve the data before publication, a collaboration begins after publication to achieve data consistency before the next release.

The validation process focuses particularly on ensuring that municipalities have reported all disability compensation measures granted to children and young people across the municipality.

Data compilation

The validated data, both from the municipal specialist systems and from reports submitted via Statistics Denmark’s web reporting system, are integrated. Across the different reporting solutions, all submissions must comply with the requirements set out in the Data Executive Order. Standardization according to these requirements enables straightforward integration of data into a core dataset.

The core data from the registers are linked into individual case sequences (forløb), which are supplemented with information from Statistics Denmark’s population register. Errors in personal identification numbers are recorded in an error list, and duplicate records are checked before the data is prepared for publication.

Municipalities have varying registration practices: some register one continuous intervention, while others register many short consecutive interventions. To standardize these reports, Statistics Denmark applies overlap processing to form the basis of the longitudinal registers. This overlap processing consists of:

• Forming sequences when a child or young person receives the same intervention with overlapping time periods within the same municipality.
• Forming sequences when the same intervention is provided within the same municipality with 14 days or less between two interventions.

In these cases, the earliest start date and the latest end date from the submissions will apply.

For the publication of 2024 data, a new longitudinal dataset has been created that includes the variables production number and department UUID. In this dataset, sequences are also formed based on the same rules as above, with the addition of production number and department UUID:

• Sequences are formed when a child or young person receives the same intervention at the same physical location within the same municipality with 15 days or less between two interventions.
• This means that if a child or young person receives the same intervention in the same municipality with 15 days or less between two identical interventions, but the production number and/or department UUID differ, no sequence will be formed.
• Consequently, this new longitudinal dataset contains more observations than the original one.

Adjustment

No corrections are made besides those corrections described in the chapters on data validation and data processing.