Skip to content

Accuracy and reliability

Contact info

Welfare and Health, Social Statistics
Silas Turner
+45 21 54 42 57

str@dst.dk

Get as PDF

Women's shelters

The statistics are a total count of women and children brought to women's shelters. Some stays are reported anonymously for the woman and/or her children, which is why background information about these may be missing and it will not be possible to capture whether the women are there more than once. Some women and children are listed anonymously at one women's shelter and not anonymously at another. In addition, typing errors or missing dates may occur when entering stays manually. Overlapping stays may also be reported. However, the majority of these errors are corrected before publication.

Overall accuracy

It is mandatory to report data concerning persons and overnight stays. The number of undisclosed values is more prominent in some variables than others, which is, for example, due to citizen not being asked or being able to answer the questions. In addition, missing check-in and check-out may potentially affect the accuracy of overall statistics.

Sampling error

Not relevant for these statistics.

Non-sampling error

A woman can choose anonymity for herself and/or her children. Since anonymous people appear in the statistics, there may be repeat offenders who are not taken into account. For these it is also not possible to find background information. There may be different practices for registration at the various women's shelters, which can lead to measurement errors.

The number of children in the StatBank Denmark tables is calculated as the sum of reported social security numbers of children in the data. The variable "number of children" is also found in micro-data. Deviations between this variable and the sum of the social security numbers of children can occur, for example, due to input errors in the data that the women's shelters report. There is currently no error check for this type of error.

During busy periods at the women's shelters, it may happen that some stays are not registered. The scope is not estimated.

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

In some of the reported stays, the woman has requested anonymity for herself and/or her brought children, and they will thus be indicated with a fictitious social security numbers in the data. This means that not all women and children can be matched with register information. The possibility of anonymity also means that the number of duplicated is not precisely known.

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

It should be possible for each women's shelter to correct data for the last three years as well stays in progress in the ongoing reporting. If there are revisions to data that go further back than three years, this will be evaluated individually. When data for each year is produced, data can be compared to what was previously reported and it is possible to assess whether the statistics should be revised.