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    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 2023 , Previous versions, Cultural Business Structure and Labour Market 2022, 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

    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

    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

    Subject page

    Authorisation of institutions

    Institutions must be authorised in order to get access to data under Statistics Denmark’s microdata schemes. This page has information on the possibilities of obtaining authorisation, educational authorisation or client authorisation and on the application process., Apply for authorisation, To get access to pseudonymised data under Statistics Denmark’s microdata schemes, your institution must be authorised. To obtain authorisation, an institution must have a permanent research/analysis environment, which involves e.g. employing a head of staff and at least three experienced researchers/analysts. To apply for authorisation, you must complete the application form at the bottom of this page., Read more about our requirements to your institution and the application under ‘Types of institutions eligible for authorisation’ and ‘Requirements to application for authorisation’ below., Without authorisation – what are the options?, If your research/analysis environment is not eligible for authorisation, or if you do not want to be authorised, you have the following options:, You can get Statistics Denmark’s Consulting team to perform the analytical task for you. , See how you commission a task with Statistics Denmark Consulting, You can commission a private consultancy that is already authorised to make the analytical task for you. For this, you need a client authorisation. , Note: , This solution is only offered to public institutions and requires that the performing consultancy has access to the data you need, or that you are granted an exemption allowing the consultancy to get access. Find further information under ‘Requirements to application for client authorisation’ below., Apply for client authorisation, To be authorised as a client, you must complete the application form at the bottom of this page. Please note that there are special requirements to the completion of specific fields in the form. Look for guidance under ‘Requirements to application for client authorisation’., Types of institutions that can be authorised, The below environments located in the Danish Realm may be considered for authorisation, if these comply with the application criteria:, The user group is defined under the framework agreement between Statistics Denmark and Danish e-infrastructure Cooperation (DeiC): Publicly funded research and analysis environments (i.e. university departments, government research institutes, ministries, government agencies etc.) as well as charitable foundations in Denmark., In the private sector, the following Danish organisations are eligible for authorisation:, Interest organisations. In this case (and in the case of enterprises), it is relevant to look at the ownership, the staff (education) as well as the tasks solved for public customers in particular. It may be necessary to make inquiries with these customers to get an opinion., Consultancies. However, consultancies cannot get access to business data. The director general may grant an exemption to consultancies allowing them to gain access to business data when carrying out fact-finding or research on business data for a public authority or an interest organisation, provided that this happens with the authority or organisation as data controller., Other enterprises may be authorised but may not get access to data that includes business data., Specifically for Greenland and the Faeroe Islands, According to the General Data Protection Regulation, the Faroe Islands and Greenland are third countries, which is significant in terms of obtaining authorisation:, The Faeroe Islands has obtained an adequacy decision by the European Commission, which means they can be approved as a secure third country. Institutions and enterprises from the Faeroe Islands can thus obtain authorisation on an equal footing with those from Denmark., Greenland has not obtained an adequacy decision, which is why Greenlandic institutions must enter into transfer agreements to obtain authorisation. Until Greenland is approved as a safe third country, authorisation can only comprise public institutions., For both the Faroe Islands and Greenland, the authorised institution must obtain approval from the Danish Data Protection Agency if it wants access to sensitive data according to the Danish Data Protection Act., Requirements to application for authorisation, In order to be eligible for authorisation, your institution must have a high and sustained focus on data security. Statistics Denmark has determined four requirements that you must be able to meet:, In the research/analysis environment, there must be a personnel manager who accepts the responsibility for the authorisation and for overseeing that the rules in the authorisation agreement are kept. This includes continuously ensuring that all persons in need of access are familiar with the rules on access to data and the rules on transfer of results., As a minimum, there must be at least three people in the environment with specific experience in handling 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 Statistics Denmark’s microdata schemes, or experience otherwise gained with the handling of register data., For private environments, the research/analysis environment must be at least one year old to be considered for authorisation., The environment must appear from the institution website., If you are a public institution, and your research/analysis environment does not meet the requirements, you can consider commissioning an already authorised private consultancy to solve the analytical task for you. For this, you need a client authorisation. Read more under ‘Requirements to application for client authorisation’., If you have questions about the application for authorisation, please contact , FSEautorisation@dst.dk, . Please write ’Re. application for authorisation’ in the subject field., Requirements to application for Educational authorisation, To gain access to the Master’s Thesis Scheme, an Educational Authorisation is required. In order to be approved your educational institution must be affiliated with a recognized public research university in Denmark that offers Master’s degree programs concluding with a Master’s thesis., In addition, your institution must maintain a strong and continuous focus on data security. Statistics Denmark has established three requirements that must be met:, In the research/analysis environment, there must be a personnel manager who accepts the responsibility for the authorisation and for overseeing that the rules in the authorisation agreement are kept. This includes continuously ensuring that all persons in need of access are familiar with the rules on access to data and the rules on transfer of results., As a minimum, there must be at least three people in the environment with specific experience in handling 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 Statistics Denmark’s microdata schemes, or experience otherwise gained with the handling of register data., For private environments, the research/analysis environment must be at least one year old to be considered for authorisation., The environment must appear from the institution website., If the above requirements can be met and you wish to create an Educational Authorisation, please include the following in the application form under "Kort beskrivelse af jeres forsknings-/analysemiljø":, “Educational Authorisation requested for educational institution with the following authorisation number at Statistics Denmark .”, For questions or if you wish to establish a shared Educational Authorisation for several educational institutions under the same faculty/department, please contact , FSEautorisation@dst.dk, . Include “Reg. application for Educational Authorisation” in the subject line., Requirements to application for client authorisation, To be considered for client authorisation, you must enter a cooperation agreement with a private consultancy that already holds an authorisation. In that case, the analytical task will be carried out at your/the client’s responsibility, but based on the specialised environment at the consultancy charged with the task., Client authorisations are only offered to public institutions and require that the performing consultancy can get access to the data you need. Please inquire with the consultancy if this is the case before you apply for a client authorisation., Note:, If you need business data with limited access, you can apply for an exemption on behalf of the consultancy. Read about the possibility of applying for an exemption under , Access to business data, ., You cannot apply for an exemption until you have been client authorised., Guide to application for client authorisation, To apply for a client authorisation you must use the same form as for an application for authorisation (bottom of the page)., All fields in the form must be completed as specified, except for these six:, Under ’Name of institution’ you must add ’- Client authorisation’ , [Example: Agency for xxx - Client authorisation] , Under ‘Name of person responsible for authorisation (head of staff)’, you enter the name of the head of staff in your institution who is going to act as the person responsible for authorisation. For the person in question, this involves e.g. assigning roles in Denmark’s Data Portal and acting as data controller without any supervisory obligation. The supervisory obligation lies with the consultancy charged with the task. Read more about the division of roles under , User roles, ., Under ’Brief description of your research/analysis environment’, you must state the name and authorisation number (1-3 digits) of the consultancy charged with the task , [Example: Name of consultancy, 123], Under ’Number of researchers in your research/analysis environment’, you must enter ’0’, Under ’Number of people in the environment who have specific experience in handling register data/large volumes of data, you must enter ’0’, Under ’Link to the environment website’, you must enter your institution website., If you have questions about the application for client authorisation, please contact , FSEautorisation@dst.dk, . Please write ’Re. application for client authorisation’ in the subject field., How Statistics Denmark assesses applications for authorisation and client authorisation, Assessment of application for authorisation, To assess whether you can be authorised, we make a specific assessment based on your research/analysis environment. In doing so, we focus on your competences in data management and your knowledge of the data security rules that apply for access under Statistics Denmark’s microdata schemes., All authorisations need approval from the director general of Statistics Denmark., If you are approved for authorisation, you must enter into a data processor agreement with Statistics Denmark., Assessment of application for client authorisation, To obtain a client authorisation, your research/analysis environment does not need to be assessed by Statistics Denmark. This is because your analytical tasks will be handled by an authorised consultancy., In the assessment of your application for a client authorisation, Statistics Denmark focuses on whether you are a public institution and whether you have appointed a head of staff as responsible for authorisation., If you are approved for a client authorisation, you must enter into a data processor agreement with Statistics Denmark., Other agreements, documents and guides (in Danish), Autorisationsaftale, Databehandleraftale (pdf), Tilknytningsaftale, Brugeraftale, Read about the rules on transfer of analysis results, Please refer to Statistics Denmark’s Data confidentiality policy and Information security policy, If you have questions about the application for authorisation or client authorisation, please contact , FSEautorisation@dst.dk, .

    https://www.dst.dk/en/TilSalg/data-til-forskning/autorisering-af-institutioner

    Documentation of statistics: Imprisonments

    Contact info, Population and Education, Social Statistics , Iben Birgitte Pedersen , +45 23 60 37 11 , IPE@dst.dk , Get documentation of statistics as pdf, Imprisonments 2024 , Previous versions, Imprisonments 2023, Imprisonments 2022, Imprisonments 2021, Imprisonments 2020, Imprisonments 2019, Imprisonments 2018, Imprisonments 2017, Imprisonments 2016, Imprisonments 2015, The purpose of the statistics is to analyze the number of arrests for violation of the penal code and the special laws (among these the Danish Road Traffic Act). The statistics on imprisonments was published for the first time for the year 2015., Statistical presentation, The statistics shed light on the number of arrests for violation of the penal code, the road traffic act and other special legislation. In the published statistics the arrests are classified into type of offence, outcome and education. Demographically the statistics are divided into age and sex., Read more about statistical presentation, Statistical processing, Data on imprisonments, which Statistics Denmark receive from the Central Criminal Register, are linked to data from Statistics Denmark's Population Register and Statistics Denmark's Educational 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 imprisonments started/ended during the calendar year have not been registered before the data are drawn. This implies that the total number of imprisonments presumably is under-estimated., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 5 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 2015, 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. , Read more about comparability, Accessibility and clarity, In StatBank the statistics are published in the tables , STRAF70, , , STRAF71, , , STRAF72, , , STRAF73, , og , STRAF74, ., Furthermore the statistics are published in the publication , "Kriminalitet", (Criminality)., See more at the , Subject page, ., Taylor made statistics can be produced on the basis of data from different registers, moreover through Statistics Denmark's Division of Research Service it is possible for researchers to be granted access to anonymised data., Read more about accessibility and clarity

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

    Documentation of statistics