Search result

Statistics on income and living conditions (SILC)

What share of the population is economically vulnerable? How is overall life satisfaction? The survey on Living Conditions is conducted annually in all EU countries.

https://www.dst.dk/en/Statistik/emner/sociale-forhold/levevilkaar/levevilkaarsundersoegelsen-silc

Subject page

Documentation of statistics: Survey on Living Conditions (SILC)

Contact info, Labour Market, Social Statistics , Martin Faris Sawaed Nielsen , +45 23 69 90 67 , MFS@dst.dk , Get documentation of statistics as pdf, Survey on Living Conditions (SILC) 2025 , Previous versions, Survey on Living Conditions (SILC) 2024, Survey on Living Conditions (SILC) 2023, Survey on Living Conditions (SILC) 2022, Survey on Living Conditions 2021, Survey on Living Conditions 2020, Survey on Living Conditions 2019, Welfare Indicators 2018, Welfare Indicators 2017, Welfare Indicators 2016, Welfare Indicators 2015, Welfare Indicators 2014, Welfare Indicators 2013, In Denmark EU-SILC (Statistics on income and living conditions) is a combination of survey and register data. The purpose of EU-SILC is to provide a statistics on income, living conditions and risk of social exclusion. Statistics Denmark only disseminate a small part of EU-SILC. Dissemination is by Eurostat primarily., The survey is conducted in all EU member states once a year following the same guidelines. In Denmark the survey has been conducted since 2004., Statistical presentation, SILC consists of data on the composition of the households and their living conditions including questions on how easy it is for the household to make ends meet and the financial burden of the housing costs. Further information is collected on health and position on the labour market etc. These interview questions are then supplemented by a lot of register based information, mainly on incomes, demographics, housing and education. , Read more about statistical presentation, Statistical processing, The subjective data from the interviews are combined with the register based data using the Central personal Register. To adjust for non-response bias, weights are computed and assigned to respondents. This ensures that the survey population match the Danish population on demographics and income levels. , Read more about statistical processing, Relevance, SILC is primarily used by Eurostat and the European Commission. Users of the statistics published in Denmark are mainly the press., Read more about relevance, Accuracy and reliability, Data are based on a survey; hence there is some statistical uncertainty; especially on subgroups. In addition to sampling errors there might be a slight risk of bias. A calibration of the survey is carried out in order to limit any bias and make sure that the sample reflects the population on factors such as demographics and incomes. For the published variables the effect and risk of bias is assumed to be negligible due to the strong correlation with incomes., Read more about accuracy and reliability, Timeliness and punctuality, The data are usually published in December or January following the interview period. There is a risk of delays, due to the many different data sources used to compile SILC - which may not be available in due time., Read more about timeliness and punctuality, Comparability, The published indicators are assumed comparable over time and between countries participating in the EU-SILC., Read more about comparability, Accessibility and clarity, Some main figures are published in Nyt fra Danmarks Statistik and in the statbank. Eurostat publish many figures in the , Eurostat database, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/survey-on-living-conditions--silc-

Documentation of statistics

Certification of users

All users working with data in one of Statistics Denmark’s microdata schemes must achieve certification. The certification ensures that everybody knows the data security rules under Statistics Denmark’s microdata schemes and feels safe using and transferring data. To ensure continued high focus on the data security rules, all users must subsequently achieve re-certification once a year.,  , Certification in practice, In practice, the certification takes place via DDP App, where you must pass a test with questions on the data security rules described in , Denmark's Data Portal's data security rules under the microdata schemes (pdf), . It is a good idea to read the rules before you start. You have three attempts per day to pass., See the video guide for user certification (in Danish), This is how you do it:, Log into DDP App with your three/four-character ident and password., On your landing page, select the window ‘Learning and certification’. , Then select the tab ‘Certifications’. If it does not drop down automatically, click the small blue arrow., Answer the certification questions by clicking ‘Start certification’ and ‘OK’ in the info box that pops up., Answer the questions by clicking the option you believe to be correct., When you have answered all the questions, you click the button ‘Submit answer’, which has turned blue meanwhile., If you answer all ten questions correctly, you have passed the certification and you are considered able to handle data in accordance with our data security rules., Under ’Result’, your status will be indicated as ’Passed’, and a green info box appears with the text ’Congratulations, you have passed’., Under ’Resultat’ vil din status figurere som ’Bestået’, og der vises en grøn infoboks med teksten ’Tillykke, du har bestået’. , If you do not answer all ten questions correctly, you can see under ’Result’ how many questions you answered incorrectly in your attempt and how many remaining attempts you have. Furthermore, a red info box appears with the text ‘Sorry, you have not passed’., a) If you have more attempts left and want to re-take the test, press ’Certification front page’ and start over. Note that you have three attempts per day and that the questions change from time to time. Consider re-visiting the data security rules, before you try again., b) If you do not have any attempts left, your access to your projects will be locked for 24 hours. The small watch icon indicates when the 24 hours are up. After that, you can take the test again., The certification questions, The test contains questions about the data security rules (, data security rules under the microdata schemes (pdf), ). Since Statistics Denmark’s data security rules may differ from the practice in other institutions, it is important to read and know the rules under the microdata schemes. Knowing the rules is also the basis for answering the ten certification questions correctly. , Read more about the data security rules under Rules on transfer of analysis results , The questions are about access to researcher machines, pseudonymisation, transfer rules and working in general with data. Below you will find an example of a question that you can encounter in the certification test:, Question 1:, You have collected a survey that you are working on locally. You have registered the survey with the Danish Data Protection Agency, so the permits are in place. You have also sent the survey to Statistics Denmark to have the option of linking the survey with register data on the researcher server. Which is the correct statement?, Reply options:, a. You are allowed to download/transfer microdata from the survey that you have uploaded yourself., b. The only microdata you are not allowed to transfer, is microdata provided by Statistics Denmark to your project., c. Retrieval of microdata is never allowed regardless of data source.

https://www.dst.dk/en/TilSalg/data-til-forskning/brugeradgang/certificering-af-brugere

Documentation of statistics: Participation at folk high schools

Contact info, Science, Technology and Culture, Business Statistics , Anne-Sofie Dam Bjørkman , +45 20 37 54 60 , ASD@dst.dk , Get documentation of statistics as pdf, Participation at folk high schools 2024 , Previous versions, Participation at folk high schools 2023, Participation at folk high schools 2022, Participation at folk high schools 2021, Participation at folk high schools 2020, Participation at folk high schools 2019, The statistics describes the participants at the Danish folk high schools according to age, gender, ancestry, education, income, area of residence by course length and school type. The statistics describes the students, which can be found in the statistics about supplementary courses - Folk High Schools, which gives a comprehensive description of the students participation in courses in folk high schools and free vocational schools., Statistical presentation, The statistics describes the background of the participants at Danish folk high schools. In addition the background of the participants is described in terms of age, gender, ancestry, education and income in actual number of participants as well as in full-time student equivalents. Course lengths are short, medium and long. The statistic results are presented in school years and calendar years. , Read more about statistical presentation, Statistical processing, The statistics are based on the coordination of several of Statistics Denmark's statistic registers. The participants are identified from the register of adult education and continuing training, which annually collects data from the folk high schools' administrative systems and manual reporting. From this register information about the participants course length and about the type of school. The population register provides information of age, gender, residence, ancestry and family relations. The Register of highest education provides information about education, and from the the Income Register data on income is drawn. , Read more about statistical processing, Relevance, The folk high schools are often debated in the media, but there is limited knowledge of the participants' background. The statistics shed light on the folk high school area with a focus on the participants' background in addition to the existing statistics about folk high schools, which focus on the participants' course activity. The statistics are relevant for supporting educational and cultural policy debates and can be used by individuals, journalists, authorities and interest groups, as well as the providers of the basic statistical data., Read more about relevance, Accuracy and reliability, The number of participants are derived from a total reports of the folk high schools. The primary sources of uncertainty are errors in the reports of the schools and the existence of any schools that Statistics Denmark is not aware of. When combining the student register with the other background registers some register information may be incomplete. These participants will be categorized as uninformed. As the register coverage for foreign participants is generally poorer, the proportion of uninformed will be higher for the medium and long courses. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics is issued once a year, and publication is approximately 10 months after the end of collection period. In general, the statistic is published in accordance with the announced time. , Read more about timeliness and punctuality, Comparability, The statistics is comparable with Statistics Denmark's statistics on activity at folk high schools. There are also statistics on the activity at participants in Sweden and Norway. There are statistics covering activities at folk high schools back to 1901, but this statistic on the background of participants are comparable from 2016 onwards., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank Denmark under the subject , Folk high school, . For further information, go to the , subject page, ., Researchers can get access to the detailed data of the basic registers according to special agreement with Statistics Denmark. Special analyses using anonymized data from the basic registers used for this statistic can be supplied by the DST Consulting. , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/participation-at-folk-high-schools

Documentation of statistics

Documentation of statistics: Convicted Persons

Contact info, Personal Finances and Welfare, Social Statistics , Jonas Ellemand , +45 24 90 74 98 , joe@dst.dk , Get documentation of statistics as pdf, Convicted Persons 2024 , Previous versions, Convicted Persons 2023, Convicted Persons 2022, Convicted Persons 2021, Convicted Persons 2020, Convicted Persons 2019, Convicted Persons 2018, Convicted Persons 2017, Convicted Persons 2016, Convicted Persons 2015, Convicted Persons 2014, Convicted Persons 2013, Documents associated with the documentation, Rape Convicted persons_2024 (docx), The purpose of the statistics is to analyze the number of persons who have been found guilty in violation of the penal code and the special laws (among these the Danish Road Traffic Act). The statistics on convicted persons was published for the first time for the year 1995. Since then it has been published for the years 1998, 2000, 2002 and 2004 and hereafter annually., Statistical presentation, The statistics shed light on the number of persons who have been convicted for violation of the penal code, the road traffic act and other special legislation. In the published statistics the convicted persons are classified into sex, age, municipality, national origin, country of origin and type of offence and conviction. From 2018-2021 also into citizenship and from 2021 into socio economic status and education. , Read more about statistical presentation, Statistical processing, Data from Statistics Denmark's register of convictions are linked to data from Statistics Denmark's population register and Statistics Denmark's income register. Data are already validated. However, central variables go through a probability check in form of a comparison with data from the previous year., Read more about statistical processing, Relevance, The statistics are used broadly by the authorities, enterprises, organisations, researchers, the press, in the public debate etc. Views and suggestions from key users are taken into consideration in the preparation of the statistics., Read more about relevance, Accuracy and reliability, The data used in the statistics are drawn from the Central Criminal Register. The data are typically drawn about 1 February following the relevant calendar year. A number of convictions made during the calendar year have not been registered before the data are drawn. This implies that the total number of convictions presumably is under-estimated., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 11 months after the end of the reference year. The statistics are published without delay in relation to the scheduled time., Read more about timeliness and punctuality, Comparability, Since 1995, the statistics has been prepared on the same date source. In general the statistics is therefore comparable during time. As a consequence of law amendments or wishes for more information on specific kind of offences the division of type of offences has been altered during the years. An overview of new and ceased type of offences can be found in this annex (in Danish only): Development in types of offences., Fines for violation of the road traffic act below DKK 2,500 are not included in the statistics as from 2012. In the period 2001-2011 the limit was DKK 1,500 and before 2001 DKK 1,000., Read more about comparability, Accessibility and clarity, In StatBank the statistics are published in , Convicted Persons, ., Furthermore the statistics are published in the publication , "Kriminalitet", (Criminality) and the publication , "Indvandrere i Danmark", (Immigrants in Denmark, as from 2005)., See more at the , Subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/convicted-persons

Documentation of statistics

Health of vulnerable groups

How is the health of young people who are not in employment, education or training? The statistics show doctor's visits and purchases of prescription medicine.

https://www.dst.dk/en/Statistik/emner/borgere/sundhed/saarbare-gruppers-sundhed

Subject page

Feed, fertiliser and pesticides

What do Danish farm animals eat? How is the sale of nitrogen in mineral fertiliser developing, and which are the best-selling types of pesticides?

https://www.dst.dk/en/Statistik/emner/erhvervsliv/landbrug-gartneri-og-skovbrug/foder-goedning-og-pesticider

Subject page

Linking of external data

Statistics Denmark’s register data can be linked with other data materials, here called external data. This can be, for example, extractions from registers outside Statistics Denmark, your own data – for example survey data – or data from other data providers., External data must be documented and comply with the same requirements to data minimisation and statistical disclosure control that Statistics Denmark applies in general., These requirements must ensure that only external data needed in the project is provided and that Denmark’s Data Portal get the information necessary to be able to handle the additional microdata and make it available in the specific project., Use of external data must comply with the same rules regarding confidentiality and transfer as those that apply to Statistics Denmark’s microdata. , Read more about the rules on transfer and sanctioning, Any other data must be provided safely to Statistics Denmark. , You will find the guide for uploading external data sets under ‘Use of DDV upload’, Requirements for external data, Only approved and documented data:, External data must be covered by an approved project proposal. Documentation of the external data content must be uploaded as an appendix in the DDP App. See below under ‘Documentation of external data’., No information identifying individuals or businesses:, Personal names, company names, responses with free text in surveys and other information roughly identifying individuals or businesses is not allowed to be included in external data. Such variables must be removed or categorised before external data is provided to Denmark’s Data Portal., Only the required key variables:, You may include only the key variables, e.g. civil registration number, required to link the external data with the other data on the project. Key variables that are not needed must be removed before data is provided to Denmark’s Data Portal., Only numeric variables and categorised text variables:, External data may not include non-categorised text variables, such as free text., Only information required for the specific project:, Key variables for which there is no need, must be removed before data is provided to Denmark’s Data Portal., File formats, External data may be provided in the following formats:, .ASC, .CSV, .DTA, .ODS, .PDF, .SAS7BCAT, .SAS7BDAT, .SAV, .XLS, .XLSX, Documentation of external data, External data must be documented, so that Denmark’s Data Portal gets the information that is necessary to be able to handle the external data and provide it for the specific project. For that reason, the institution is responsible for uploading an overview with the below content as an appendix in the DDP App., A short description of data (for example origin and content), Name of the data set, names of variables and a description of the variable content., The key variables that must be de-identified. This means the variables required to link the external data with the other data in the project (e.g. civil registration number)., Which additional variables must be de-identified? This means variables that can be attributed directly to individuals or businesses (e.g. CVR number, grant number for health practitioner, serial number, or other ID numbers)., Does the external data include key variables that must be linked with key variables in previously provided data sets?, If data is provided directly to Denmark’s Data Portal from another data provider, further documentation may be necessary, e.g. variables that must be deleted (see ‘Requirements for external data’ above)., The overview must be uploaded as an appendix in the DDP App under ’External data sources’ in a generally available format (Excel, Word or similar)., If data is to be linked with more populations, the documentation must be attached as an appendix under ‘External data sources’ for minimum one of these populations. The external data must appear under ‘External data sources’ for each population., When the external data has been provided to Statistics Denmark and the documentation has been uploaded in the DDP App, it is recommended that you notify the project owner in Denmark’s Data Portal via email., Prices for delivery of submitted data, The price for the delivery of submitted data is variable. Once we have received the data, we prepare a framework agreement with a maximum expected time consumption. After delivery of the data, we settle based on the actual time consumption. , See more about framework agreements under Prices and price agreements, ., The expected time consumption depends on many factors, including the number, size, complexity and format of the files. Therefore, we always prepare framework agreements for submitted data on a case-by-case basis, and only when we have received the specific data sets., The table below provides a guide to the typical relationship between the number of data sets and the maximum expected time consumption. Please note, however, that the number of data sets is only one of many factors, and the table is therefore only a guide. Other factors, such as size, number of variables, or special treatment, may increase or decrease the number of hours in the specific framework agreement. Contact the project manager in Denmark’s Data Portal if you need a more precise estimate., See the current hourly rates under Prices and price agreements, Number of datasets, Typical number of hours in framework agreement (indicative), 1-2, 2-4, 3-10, 4-8, 11-20, 8-14, 21-50, 14-20, NOTE: The number of hours in the framework agreement is typically set to accommodate unforeseen circumstances. Since the settlement is based on the actual time spent, the final price will in many cases be lower., Submitting files that do not include microdata, Files that you need in your project and that do not include microdata (e.g. programme files), must not be uploaded via DDV Upload., The files can be sent directly to the project owner in Denmark’s Data Portal, if you are working on a subproject for a project database. If you are working under the researcher scheme, you can send an email to , danmarksdatavindue@dst.dk, . In both instances, you must attach the files to the email. Further, you must:, Confirm that you have checked the files to ensure that they do not include microdata., Confirm that the files do not include microdata., Provide a short description of the content of the files and its relevance in terms of the purpose of the project., Indicate the specific path to where the files must be located., Ensure that the files are submitted in a generally available format that can be opened and checked by Denmark’s Data Portal without use of specialised software.,  , De-identification, When the external data has been received in Denmark’s Data Portal it will be de-identified in the same way as any other data that belongs to the project. This happens by de-identifying key variables. Subsequently, the external data is made available together with any other data in the project., Providing external data to Denmark’s Data Portal, External data must be provided safely to Statistics Denmark, External data can be provided safely to Statistics Denmark in the ways stated below:, Use of DDV Upload, Under Statistics Denmark’s microdata schemes, it is possible to upload additional files with data to be used in an existing project. Only data and documentation can be uploaded. Programmes etc. can be sent to the Denmark’s Data Portal employee who is responsible for the project (project owner)., The documentation must either be sent to the project owner from Statistics Denmark or be uploaded in one of the allowed file formats., Before you upload, Before you upload data to be used in a project, you must ensure that the criteria for use of your data in the project have been met. The requirements are described at the top of the page under ‘Requirements for external data’., The handling of external data is invoiced according to the actual time used, unless otherwise agreed., Contact the project owner in Statistics Denmark in advance., How to upload the files, You log in via remote.dst.dk in the same way as when you are going to work on a project., Under 'Applications and Links' select 'DDV Upload'., Write the project number of the project where your data is to be used., When the project title is shown next to the project number, you must check that you have selected the right project for uploading of data., If relevant, add a comment concerning your data in the comments field for the project owner at Statistics Denmark. Actual correspondence should take place via email. , Add files to be uploaded by clicking `Add file'. You can add one or more files. Each file may run up to 2 GB., Note that not all types of files can be uploaded. You can see the list of allowed types under `File formats' further up on the page., When all files have been selected, you must click `Upload'., When all the files have been uploaded, you can log out in the bottom right-hand corner., If relevant, see , this guide for DDV upload (pdf, in Danish), , which includes screenshots of the upload process., Use of secure email, Data with a max. file size of 100 MB can be sent via secure email to , forskerpost@dst.dk, in one of two ways: , The institution retrieves Statistics Denmark's certificate at the website for download of security certificates (in Danish): Select , forskerpost@dst.dk, . For Outlook, we recommend the Vcf format. , After this, external data must be sent to , forskerpost@dst.dk, . Always indicate project number and project owner in Denmark’s Data Portal in the subject field of the email and notify the project owner in Denmark’s Data Portal directly, once the external data has been sent. Statistics Denmark does not offer any support for encryption or digital signature. Refer to your own IT department for guidance using mitID and secure email., The institution can use a secure, encrypted tunnel (SEPO). The set-up is individual for different institutions and must be handled by the institution's IT department, which should be involved before the external data is sent., You must always indicate the project number and notify the project owner in Denmark’s Data Portal that the email has been sent using an encrypted tunnel (SEPO). If using an encrypted tunnel, external data must also be sent to , forskerpost@dst.dk, ., Registered letter or personal delivery, For data security reasons, we recommend that you use one of the above options., If this is not possible (e.g. if the files are very big), it is possible to provide password-protected external data on physical media directly to Statistics Denmark at the below address. The contact person for the project in Denmark’s Data Portal and the project number must always appear from the material handed in:, Statistics Denmark, Service Desk, Sankt Kjelds Plads 11, 2100 Copenhagen Ø, Att. Contact person for the project in Denmark’s Data Portal, Re. project number: 7XXXXX, External data can either be delivered personally at Statistics Denmark's reception or be sent by registered mail to Statistics Denmark on a physical medium (DVD, CD-ROM or USB, which will not be returned). When provided on a physical medium, the external data must be password-protected. Password must not be provided together with the physical medium., When the external data has been received, you must send the password via email to the contact person for the project in Denmark’s Data Portal.,  , Other data providers, Other data providers can provide external data directly to Statistics Denmark at the request of the institution and by agreement between Denmark’s Data Portal and the data provider. Delivery of external data must take place in one of the above ways, but you must make sure that the external data complies with the requirements above before it are delivered to RDenmark’s Data Portal., Do , not , send data via standard email, External data must not be sent via standard email, since this is not a secure delivery mode.

https://www.dst.dk/en/TilSalg/data-til-forskning/anmodning-om-data/tilknytning-af-eksterne-data

Agricultural and horticultural economy

How many full-time farms are there in Denmark? How are the prices of agricultural products developing? Get an overview of the agricultural economy.

https://www.dst.dk/en/Statistik/emner/erhvervsliv/landbrug-gartneri-og-skovbrug/oekonomi-for-landbrug-og-gartneri

Subject page