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Accuracy and reliability

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Welfare and Health, Social Statistics
Sofie Mandrup Hansen
+45 39 17 39 74

underret@dst.dk

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Notifications of concern for children and young people

The accuracy and reliability of these statistics is high.

The numbers are revised two years back in time. The revisions consist of minor corrections and thus do not change the overall picture of the statistics.

Overall accuracy

The accuracy of the statistics is high. Upon publication typically minor, if any, errors are found. These are corrected upon subsequent releases and validation. In 2017, there was an issue regarding repetitions, however a stricter registry practice is expected to have solved the issue. Furthermore, the large amount of notification causes, does contribute to the risk of underestimation of the causes and differences in local register practices.

Sampling error

The sampling error is zero since the statistic's method is complete enumeration.

Non-sampling error

The statistics cover all 98 municipalities. However data reported to Ankestyrelsen (The Social Appeals Board) are not part of the population.

Before 2017, inter-municipal notifications have contributed to some duplicates.

Notifications pursuant to section 152 of the Service Act (inter-municipal notices) may be partially regarded as duplicates - and are removed in the total count of notifications.

The large number of notifications can contribute to a risk of municipalities failing to reporting all of the notifications, and therefore a total number of notifications can be underestimated.

Quality management

Statistics Denmark follows the recommendations on organisation and management of quality given in the Code of Practice for European Statistics (CoP) and the implementation guidelines given in the Quality Assurance Framework of the European Statistical System (QAF). A Working Group on Quality and a central quality assurance function have been established to continuously carry through control of products and processes.

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.

Quality assessment

The annual publication, no later than 9 months after the survey reference period, ensures the users current and relevant knowledge on the subject and indicates the scope and character of problems with children and young persons in need of special support. The division of StatBank tables UND1 (amount of notifications), UND2 (amount of individuals) and UND3 (amount of causes) ensures that the users have a better possibility of answering relevant questions regarding disadvantaged children and young persons.

The statistics is accurate and reliable since it is a complete enumeration and due to the high quality of data. The data quality is ensured though the extensive validation process and annual revisions of earlier published data. This makes data comparable to earlier years, even though the first years data quality was lower than now, when taken into account, the reorganization process completed in 2017. Data is also comparable to similar statistics about disadvantaged children in Statistics Denmark as well as corresponding statistics from other countries.

Data revision - policy

Statistics Denmark revises published figures in accordance with the Revision Policy for Statistics Denmark. The common procedures and principles of the Revision Policy are for some statistics supplemented by a specific revision practice.

Data revision practice

The statistics are revised annually two years back in time. New numbers are published at the same time as the previous two years are republished with corrections reported since the last publication. For example, in 2022, data for census year 2021 and revised data for 2019 and 2020 are published. Republication of previous years consists mainly of minor corrections and does not change the overall picture. Data is generally considered finite, 3 years after the publication.