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Convicted persons

How many people are convicted in Denmark? What is their ancestry? What education do they have?

https://www.dst.dk/en/Statistik/emner/sociale-forhold/kriminalitet/doemte-personer

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Documentation of statistics: Hospitalization

Contact info, Personal Finances and Welfare, Social Statistics , Line Neerup Handlos , +45 26 64 03 00 , lha@dst.dk , Get documentation of statistics as pdf, Hospitalization 2023 , Previous versions, Hospitalization 2022, Hospitalization 2021, Hospitalization 2018, Hospitalisation 2017, Hospitalization 2016, Hospitalization 2015, Hospitalization 2014, Hospitalization 2013, The purpose of the Hospital Utilization Statistics is to shed light on the connection between social and demographic conditions and admissions or out-patient treatments, etc. in hospitals., Statistical presentation, The statistics is an annual inventory of admissions to and out-patient treatments at public and private somatic and psychiatric hospital wards within one calendar year. The statistics show how hospital admissions varies with demographic and social factors, such as residence, sex, age and family etc., Read more about statistical presentation, Statistical processing, The register data received from the National Patient Register is linked with background data from Statistics Denmark and counts are made, e.g. number of admissions and number of out-patient treatments and patients at public and private somatic and psychiatric hospital departments during the calendar year., Read more about statistical processing, Relevance, Public and private actors and the population can use these data on the population's hospital use for analyses, research, debate, etc. Value creation occurs by calculating specific diagnosis groups as well as by linking hospital use with socio-demographic factors, e.g. place of residence, family type and ancestry. This is achieved by linking National Patient Register data with register data on the population from Statistics Denmark., Read more about relevance, Accuracy and reliability, The National Patient Register is validated by the Danish Health Data Agency and the accuracy of the register data must be considered to be high because the registration has a long tradition and a high priority for administrative purposes. Accordingly, the overall accuracy of the Hospital Utilization Statistics is high. However, the transition from LPR2 to LPR3 took place continuously and slightly staggered between the regions in February-March 2019, which is why reservations are made for missing LPR3 data for the beginning of 2019., Read more about accuracy and reliability, Timeliness and punctuality, Delay has occurred due to the transition to a new National Patient Register with a new register structure regarding data on admissions. Tables on number of hospital admissions (2019-2021) were published in 2022, and tables on out-patient treatments were published in 2023. In 2024, 8 additional tables were published on 2019-2022 data, and in January 2025, 14 tables on the basis of 2023 data were published. The punctuality is high. , Read more about timeliness and punctuality, Comparability, The statistics has been developed since 1990, but due to the new data structure in the National Patient Register there is a data breach between 2018 and 2019. , Eurostat and the OECD make comparable statistics in this field. There are a number of organizational and institutional conditions that we must keep in mind when comparing countries. , Read more about comparability, Accessibility and clarity, The statistics are released in the newsletter Nyt from Statistics Denmark (in Danish only) and the Statbank, Statbank tables on hospitalisation rates (https://www.dst.dk/en/Statistik/nyt/relateret?pid=580). Statistical Yearbook and Statistical Ten-Year Review contain selected sections about hospitalisation rates. , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/hospitalization

Documentation of statistics

Detention

How many persons are arrested annually in Denmark? How many arrests end with release, custody, and sentence?

https://www.dst.dk/en/Statistik/emner/sociale-forhold/kriminalitet/frihedsberoevelser

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Data

Data from Statistics Denmark, Statistics Denmark has collected a large number of historical register data in a basic databank in Research Service. The registers are updated at least once a year when Statistics Denmark has , published the statistics based on the registers, . The overview below shows the registers in the Research Service. Variables in the individual registers can be retrieved from the overview. Documentation of the variables can be found in , Statistics Denmark’s documentation system, ., Overview of registers and variables, The Data Warehouse for Business Statistics, From January 2024, Statistics Denmark will be launching the new Data Warehouse for Business Statistics. The new version widens and improves the access to anonymized enterprise microdata and gives researchers access to unique data by new ways of linking data across a number of statistical registers. It also facilitates the linking of business and social statistics at micro level, the so-called Linked Employer-Employee Data (LEED)., Read more about the new Data Warehouse for Business Statistics, Contact Research Services for acces, Special rules for business data, Special rules apply to access to business data in Statistics Denmark. Access depends on the type of business data as well as on the type of institution and user. For some types of business data, there is limited access for some institutional and user types. In some cases, it is possible to apply for a exemption., Oversigt over erhvervsdata med begrænset adgang (xlsx), Read more about Business Data, Use of external data, If you need to link data material that is not part of Statistics Denmark’s register data to your research project e.g. extraction from registers found outside Statistics Denmark or your own survey information, this is also possible. All you have to do is deliver data securely to Statistics Denmark., Read more about submitting your own data, Data from other statistical authorities, Statistics Denmark has entered into an agreement with other statistical authorities to give statistical and scientific studies access to their data through the Research Service. See what data you can access here:, Data from other statistical authorities

https://www.dst.dk/en/TilSalg/Forskningsservice/Data

Documentation of statistics: Cultural Business Structure and Labour Market

Contact info, Science, Technology and Culture, Business Statistics , Søren Østerballe , +45 23 42 32 97 , SRB@dst.dk , Get documentation of statistics as pdf, Cultural Business Structure and Labour Market 2022 , Previous versions, Cultural Business Structure and Labour Market 2021, Cultural Business Structure and Labour Market 2020, Cultural Business Structure and Labour Market 2019, Cultural Business Structure and Labour Market 2018, Cultural Business Structure and Labour Market 2017, Cultural Business Structure and Labour Market 2016, Cultural Business Structure and Labour Market 2015, Cultural Business Structure and Labour Market 2014, Cultural Business Structure and Labour Market 2013, Cultural Business Structure and Labour Market 2012, The purpose of the statistics is to analyze workplaces as well as persons employed within the cultural sector. The statistics is compiled from 2008 and is published annually., Statistical presentation, The statistics on Cultural Business Structure and Labour Market are compiled annually and provide data on workplaces, entrepreneurs, jobs and persons employed in the cultural sector. Detailed results are disseminated through a number of tables in StatBank Denmark and main results and links to tables can be accessed at the subject page for economic conditions for culture as well as in the annual publication Culture (from 2015 and onwards)., Read more about statistical presentation, Statistical processing, The statistics is based on edited register data from the Establishment-related Business Statistics, the Register-based Labour Force Statistics, Educational Attainment, and Business Demography. The number of jobs are calculated for workplaces (establishments) in relevant activity sectors and are linked to personal data on e.g. age and educational status for employees., Read more about statistical processing, Relevance, The statistics is accessible for everybody and can be used for summaries of the entrepreneurship, educational status and employment within the cultural sector. The statistics may be used for analyses, planning and debates on the topic of cultural employment, etc., Read more about relevance, Accuracy and reliability, The statistics is based on validated data from Statistics Denmark's central registers that form the basis of official statistics, refer to the documentations of statistics for Establishment-related Business Statistics, the Register-based Labour Force Statistics, Educational Attainment, and Business Demography. No actual measurement of the quality and no calculations on measures of accuracy has been performed., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published 20 months after the end of the reference period awaiting the compilation of source register data. It is a fairly new statistics that has been published punctually., Read more about timeliness and punctuality, Comparability, The current time series starts in 2008 and is without any data breaks. The statistics can be compared to selected results from the Establishment-related Business Statistics, the Register-based Labour Force Statistics, Educational Attainment, and Business Demography. Eurostat and Unesco regularly publish reports on the same subject matters as this statistics., Read more about comparability, Accessibility and clarity, These statistics are published annually in the StatBank under the subject , Education and employment in the cultural field, . For further information, go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/cultural-business-structure-and-labour-market

Documentation of statistics

Authorisation of research institutions

In order to access microdata under Statistics Denmark’s microdata schemes, the individual research/analysis environment must first be authorised, i.e. the environment must enter into an agreement with Statistics Denmark on access to pseudonymised microdata under Statistics Denmark’s microdata schemes. Only permanent research and analysis environments with a responsible manager and several researchers/analysts can be authorised., To become authorised, you have to fill out the form on our Danish website., If you have any questions about the authorisation application, please contact , FSEautorisation@dst.dk, ., Types of institutions that can be authorised, The following environments located in Denmark may be considered for authorisation, provided that they meet the criteria for applying:, The user group defined under the framework agreement between Statistics Denmark and Danish e-infrastructure Cooperation (DeiC): Publicly funded research and analysis environments (i.e. universities, sectoral research institutes, ministries, agencies, etc.), as well as general charitable foundations in Denmark., In the private sector, the following Danish organisations can obtain authorisation:, Nongovernmental organisations, Consultants — however, these cannot access microdata containing company data. The Director General may grant an exemption from access to company data to consultancy firms carrying out research on company data for a public authority or a nongovernmental organization, provided that this is done under the authority’s or organisation’s data responsibility., Other companies can be authorised, but cannot get¬ access to microdata containing company data., Requirements for the application, In order to be eligible for authorisation, the environment must have a high and sustained focus on data security, several people with the skills to handle register data/large data volumes, as well as a size that ensures that these competencies are maintained in the environment (including in case of staff changes)., In order to ensure this as best as possible, we have laid down minimum requirements that must be met before a research/analysis environment, can apply for authorisation., In the environment, there must be a personnel manager, who agrees to be responsible for the authorisation and supervise compliance with the rules in the authorisation agreement, including continuously ensuring that all persons who need access are familiar with the rules on access to microdata, including rules for transferring results., As a minimum, there must be at least three people in the environment, who have concrete experience in handling microdata/large data volumes and solid knowledge of our data security rules. Experience may have been gained, for example, through previous access to pseudonymised data under the micro-data schemes, or by having otherwise gained experience in handling register data, For private environments, the environments must be at least one year old before they can be considered for authorisation, The environment must appear on the organisation’s website, How Statistics Denmark assesses the application, For each authorisation application, Statistics Denmark carries out a concrete assessment of the environment, with special emphasis on the environmental competences in the handling of microdata, as well as knowledge of the data security rules that apply to access to microdata under Statistics Denmark’s microdata schemes. Statistics Denmark’s Director General must approve the authorisation., If an environment is approved for authorisation, the environment must also enter into a data processing agreement with Statistics Denmark., Other agreements, documents and guidelines, You can read more about Research Service and the research schemes at our Danish website. During 2022, we will translate the contents of our website into English., Read more about the rules for transferring results to your own computer., Statistics Denmark’s data confidentiality and information security policy

https://www.dst.dk/en/TilSalg/Forskningsservice/Dataadgang/autorisering-af-institutioner

Documentation of statistics: Account Statistics for Fishery

Contact info, Food Industries , Charlotte Spliid Hansen , +45 29 41 97 76 , CHH@dst.dk , Get documentation of statistics as pdf, Account Statistics for Fishery 2023 , Previous versions, Account Statistics for Fishery 2022, Account Statistics for Fishery 2021, Account Statistics for Fishery 2020, Account Statistics for Fishery 2019, Account Statistics for Fishery 2018, Account Statistics for Fishery 2017, Account Statistics for Fishery 2016, Account Statistics for Fishery 2015, Account Statistics for Fishery 2014, Account Statistics for Fishery 2013, Account Statistics for Fishery 2012, The purpose of the Account Statistics for Fishery is to review the economy of the fishery sector. The statistics is used in economic models and as a basis for yearly economic statistical reports for the fishery to EU (DG Mare). The statistics has been produced by Department of Food and Resource Economics at University of Copenhagen since 1996 and was transferred to Statistics Denmark from January 2009., Statistical presentation, The Account Statistics for Fishery covers the commercially fishery by fishing vessels registered in Denmark. The statistics is based on vessel units and is calculated for groups of fishing vessels (fleet segments) based on vessel size and main gear use., Read more about statistical presentation, Statistical processing, The authorized accountants report yearly the account for their fishery client. The collected accounts are thoroughly tested. When all accounts has been approved for statistical use, the sample of approved accounts are used together with register data for the entire population to simulate individual accounts for all units not in the sample. The complete dataset with individual balanced accounts for all units in the population is merged with register data on vessel characteristics, gear use etc. in order to calculate parameters for statistical groups (vessel segments)., Read more about statistical processing, Relevance, The statistics is relevant for government administration, researchers and stakeholders within the fisheries. Furthermore the data is used in the Fleet Economic Report to EU. , Read more about relevance, Accuracy and reliability, The statistic is based on a sample and the results are uncertain. The precision rely on the covering of the sample. Therefore the sample rate is bigger for vessels with high revenue. The aim is each year to include the 100 biggest vessels in the sample, and that approximately 80 per cent of the total value of landings in Danish fishery come from the vessels in the sample. Investments have the most uncertainty, because exchange of a vessel could result in closure of the fishing firm, and set up a new firm to run the new vessel., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is normally made public before one year after the conclusion of the refence year., Read more about timeliness and punctuality, Comparability, The Account Statistics for Fishery is prepared using the same overall principles as the account statistics for agriculture, horticulture and aquaculture. The statistics has been prepared yearly since 1996. Break in series occurs in 2022 due to changes in methods for calculation population cutoff, as well as a new and improved basis for classifying which fishing types the vessels are grouped into. Break in series also occurs in 2001 due to inclusion of unpaid salary to active (working) partners, and in 2009 and again 2012 due to improved calculation of the capital value of fishing rights., Read more about comparability, Accessibility and clarity, The statistics is published yearly in NYT from Statistics Denmark. Data is accessible on StatBank Denmark in the tables AKFIREGN, FIREGN1, FIREGN2 and NFISK. More information on the statistics subject web-page: , Fishery, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/account-statistics-for-fishery

Documentation of statistics

Labour Force Survey (LFS)

How high is the employment rate in Denmark? How many work part time? And how many are working from home?

https://www.dst.dk/en/Statistik/emner/arbejde-og-indkomst/befolkningens-arbejdsmarkedsstatus/arbejdskraftundersoegelsen-aku

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Surveys

Contact Information, Senior Advisor, Bo Lønberg Bilde, , mobile +45 91 37 64 26, Head of Division, Marie Fuglsang, , mobile +45 20 35 39 25, Statistics Denmark conducts surveys for both private and public customers. We carry out nationwide surveys with a random sample of the Danish population and businesses. We can also use our extensive registers as a basis to form a sample. This means that we can carry out interviews among almost any sample in Denmark, such as: , Parents of children in kindergarten , Nurses who completed their training 3-5 years ago , Car owners in the metropolitan area , Export Companies in the capital area , Companies of a certain size in Jutland   , There are many more options than the ones mentioned above. Contact us to learn more about the possibilities., The surveys are carried out either via a web form, using telephone interviews or a postal questionnaire or a combination of these three methods., Delivery, Results from the survey can be delivered as anonymised data on an individual and company level and/or coupled with register data in tables. If you want to analyze data from Statistics Denmark registers coupled with data from the study on an individual or company level this can be done through our Division of Research. Read more about the possibilities here , www.dst.dk/research, ., Price, The price depends on the content and scope of the survey. When the design of a particular survey is settled, we will send you a final price quote. It is also possible to get supplementary questions included on the monthly omnibus survey – an inexpensive way to conduct small studies with high quality.

https://www.dst.dk/en/TilSalg/interview

Not in Employment, Education or Training (NEET)

Register-based indicator for the share of young persons from 16-24 years who are not in education, employment, or training (NEET). , Introduction, NEET is an acronym for "Not in Employment, Education or Training", and this set of statistics accounts for the number of young persons from 16-24 years who are not in employment or education. The statistical data period is the last week of November, and a person is categorised as not active (NEET), if he or she is not in employment in that week and is not in education either in that same week as well as the preceding three weeks., The statistics are based on the Labour Market Accounts (LMA) and facilitate the calculation of a NEET indicator based on register data. The statistics have taken inspiration from the NEET indicator, which is defined by Eurostat as well as the OECD, and which is calculated from the interview-based Labour Force Survey (LFS)., Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Labour Market Account, Key figures, In Statbank Denmark, you can find more data on Population (16-24 years) (NEET2), Related content in Not in Employment, Education or Training (NEET), Tables in Statbank , Scheduled releases , Contact, Pernille Stender, Phone: +45 24 92 12 33, Mail: , psd@dst.dk

https://www.dst.dk/en/Statistik/emner/arbejde-og-indkomst/befolkningens-arbejdsmarkedsstatus/unge-uden-for-beskaeftigelse-og-uddannelse-neet

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