Skip to content

Statistical processing

Contact info

Welfare and Health, Social Statistics
Chris Cornelia Friis Christiansen
+45 3917 3676

bosted@dst.dk

Get as PDF

Shelters

The received data are reviewed for obvious errors, such as date format and incorrect time periods. The received data are processed with the aim to gather data into one data set. When all data sets are combined, duplicates, missing departure dates, etc. are validated. Data are linked to the population register in Statistics Denmark for further information about the users.

Source data

Each quarter, the individual accommodation reports data concerning the users who are enrolled or discharged from the accommodation facility. The statistics include all registered stays of a user during the year.

Data are collected from 115 shelters in 2023 (There are 115 unique propositions within section110 in 2023 cf. Tilbudsportalen). Accommodations that are covered by the statistics must report enrollment and discharges. In addition, at the enrollment information is obtained on where the user stayed lately, and what type of stay it was according to shelters by section 110. In regards to the discharge, question about how the discharge took place and where the user was discharged to is asked. The collected data are linked to information from the population register in Statistics Denmark.

Frequency of data collection

Data are collected on a quarterly basis.

Data collection

Data are submitted to Statistics Denmark via an upload solution at http://www.virk.dk. Data can be reported by using either a system-generated txt file or a spreadsheet, which Statistics Denmark sends digitally to the accommodation. The spreadsheet is updated by manual inputs by the accommodation and submitted to Statistics Denmark every quarter through a safe upload solution at http://www.virk.dk. The accommodation is notified by email when it is time to report data to Statistics Denmark. If data are not received, the accommodation will be reminded. The accommodation will be reminded twice by email, after which they will be reminded by telephone.

The accommodations who submits data using the spreadsheet from Statistics Denmark, continues inputting their data into the same spreadsheet, until Statistics Denmark digitally sends a new. When the accommodations receive a spreadsheet from Statistics Denmark, the accommodation manually inputs cpr-numbers (ID), enrollment date, type of stay as well as the type of stay for the users, who already is enrolled at the shelter.

Data validation

The statistics cover the period 1999-2023. Since 2020, shelters and homeless shelters, etc. have been asked to approve their data at a summary level for a 3-year period before publication. Statistics Denmark sends out a data summary to the individual shelters with some different tables. The first tables contain the number of average enrolled individuals per year and month, so the shelter can assess whether the development appears as expected. In addition, there are records of citizens who have two concurrent stays, stays where the enrollment date is after the discharge date, and stays that have lasted more than one year. The shelter must assess whether these are registration errors and then either re-report or confirm that the stays are correctly registered.

For the statistical year 2023, shelters have thus been asked to approve data for the period 2021-2023 (however, they have only reported data that has been active during 2023). There is a variable indicating whether the data has been approved by the shelter for the respective year or rejected. Since data is approved at a summary level per year, a stay that spans multiple years may have a period approved in one year while another period of the same stay may be rejected. However, there are few shelters that reject data. In 2023, there are two shelters that have not approved data because they have closed and therefore did not have the opportunity to approve data.

Data compilation

When the shelters have approved data, Statistics Denmark also validates the data. Checks are made for duplicates, whether the reported CPR numbers are valid, the discharge date is adjusted if the citizen is registered with a date of death in the middle of a stay at a shelter, and further information is retrieved, with the citizen being cross-referenced with the population register at Statistics Denmark. Additionally, overlap processing is performed if there are two or more stays for the same citizen in the same time period.

Some shelters have a night café where users are enrolled in the evening and discharged in the morning. If these stays are directly consecutive without interruption at the same shelter, the stays are converted into one stay. Note that stays at night cafes do not need to be reported to the statistics from July 1, 2022.

In cases where a question about how the user was referred, how the discharge was conducted, or where the user was discharged to is not answered, the observation will be filled with the value code corresponding to unspecified.

If there for a user at the same shelter are either two enrollments or discharges consecutively, an enrollment or discharge will be inserted the day after the first registration, so that the stay lasts for one day. This enumeration rule means that the statistics likely overestimate the number of stays of 1 day's duration.

If a user is registered with overlapping stays at the same shelter or at different shelters, these stays are treated in according to a number of rules. Read more about these rules in [Treatment of Overlap on Residence] (http: // colectica: 25233 / File / 2688a6c5-8b12-4736-81b2-96c6277f2648) in compiling these statistics.

Adjustment

Only totals on a national level are published in the tables, as the units becomes too spare if published at institutional or municipal levels. The shelters have approved or rejected data before publication. Between 0 and 5 per cent of the total population have rejected data.

The national totals is therefore enumerated to take into account the institutions that have rejected data. This is done on the basis of how many people the institutions have had enrolled per day in average during the year.