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Documentation of statistics: Quarterly Labour Force

Contact info, Labour Market, Social Statistics , Pernille Stender , +45 24 92 12 33 , psd@dst.dk , Get documentation of statistics as pdf, Quarterly Labour Force 2024 , Previous versions, Quarterly Labour Force 2019, Quarterly Labour Force 2018, The purpose the Quarterly Labour Market Status (KAS) is to to provide a description of the Danish population's affiliation to the labour market. KAS is an averaging of the populations affiliation to the labour market per quarter and per year and is published annually. KAS covers the hole population from 2017 and on, while it covers the employed part of the population 1st. - 4th. quarter from 2008 to 2017. , Statistical presentation, The Quarterly Labour Market Status (KAS) is an annually individual-based averaging which is calculating the Danish population's affiliation to the labour market per quarter and per year. The statistic is among other things also distributed on information about demography and information about the work place for employees. The statistic is published in StatBank Denmark., Read more about statistical presentation, Statistical processing, The quarterly labour force statistic is based on the Labour Market Account (LMA) which is a longitudinal register. LMA contains information about the populations primary attachment to the labour market on every day of the year. KAS is an average calculation of the population's primary attachment to the labour market broken down by quarters and years. If a person is employed for 91 days in a quarter of 91 days, that person counts as 1 employed. If a person is employed for 30 days, unemployed for 15 days and in education for 46 days, that person counts as 30/91 employed, 15/91 unemployed and 46/91 in education in the quarter. , Read more about statistical processing, Relevance, The quarterly labour force statistic (KAS) is primarily used to structural analysis of the labour market, because the statistic has a very detailed level of information. The statistic is therefore relevant to external as well as internal users and as foundation for analyzing the populations employment over the year. , Read more about relevance, Accuracy and reliability, KAS is an average calculation of the populations primary attachment to the labour market, and the statistic uses the Labour Market Account (LMA) as data source. KAS does not have the same uncertainties as statistics based on surveys. KAS is produced by using a wide range of data sources which are integrated, corrected, and harmonized, and can therefore measure the populations attachment to the labour market significantly better than the single statistics can. , Read more about accuracy and reliability, Timeliness and punctuality, From the publication of figures for the end of November 2018 onwards, the release is carried out in two stages. In the first release, persons outside the labor force are grouped together in a single category. This publication takes place approximately 11 months after the reference point. In the second publication, which occurs approximately 15 months after the reference point, persons outside the labor force are divided into different socioeconomic groups., Read more about timeliness and punctuality, Comparability, The statistics were first published in 2018 with data for employed persons in the first to fourth quarters of 2008-2016. With the exception of a change in the occupational classification in 2010, the statistics for employed persons are comparable throughout the period 2008-2016. From 2017, in addition to persons in employment, the statistics also include the rest of the population with information about their primary attachment to the labour market. KAS is based on administrative registers with national characteristics, which makes it difficult to compare the statistics internationally. , Read more about comparability, Accessibility and clarity, The statistics are published in the StatBank under , Quarterly employed persons, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/quarterly-labour-force

Documentation of statistics

Documentation of statistics: Home to work commuting

Contact info, Labour Market, Social Statistics , Pernille Stender , +45 24 92 12 33 , psd@dst.dk , Get documentation of statistics as pdf, Home to work commuting 2024 , Previous versions, Commuting 2016, The statistics measure commuting between place of residence and workplace within Denmark, including the distances between commuters’ homes and workplaces. Commuting statistics viewed as commuting between municipalities can be compiled from 1980 onwards. The distance between home and workplace was first calculated in 2006. The statistics are comparable in its current form from 2008 onwards., Statistical presentation, The statistics provide an annual, individual-based account of employed persons’ commuting between place of residence and workplace on the last working day of November. The distance between commuters’ home and workplace is also calculated in kilometres (km). The commuting statistics are published the StatBank, where the data can be distributed on place of residence, workplace, commuting distance, gender, industry (DB07), and socio-economic status., Read more about statistical presentation, Statistical processing, The commuting statistic is compiled on the register-based labour force statistic (RAS), which is based on the Labour Market Account (LMA) - a longitudinal register. A comprehensive data validation is done in the production of AMR. RAS is compiled taking a snapshot (on the populations primary attachment to the labour market) on the last working day in November based on LMA. Based on the information about the address of residence and workplace for employed persons the commuting distance is calculated. , Read more about statistical processing, Relevance, The statistic is relevant for users interested in mobility on the labour market and the data foundation makes it possible to connect detailed information for analysis. , Read more about relevance, Accuracy and reliability, The commuting statistics are based on the Register-Based Labour Force Statistics (RAS), which are used to describe the population’s attachment to the labour market. RAS is compiled from a wide range of data sources that are integrated, error-checked, and harmonised within the labour market accounts. RAS is produced as a snapshot at the end of November based LMA. Therefore, RAS does not carry the same level of uncertainty as statistics based on sample surveys., It is also important to be aware that the calculated commuting distance reflects an ideal situation where every person is believed to travel from residence to workplace by the shortest route and by car. , Read more about accuracy and reliability, Timeliness and punctuality, Commuting statistics for commuting between municipalities are published approximately 11 months after the reference date. Commuting distances are published approximately 17 months after the reference date. , Read more about timeliness and punctuality, Comparability, The statistics can be compiled from 1980 and are comparable from 2008 onwards. Historically, there have been various data breaks in the RAS statistics, which are described in the statistical documentation for RAS., Read more about comparability, Accessibility and clarity, In the StatBank the statistics is published can be found under the subject , Home to work commuting, . For further information, go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/home-to-work-commuting

Documentation of statistics

Documentation of statistics: Labour Market Account

Contact info, Labour Market , Pernille Stender , +45 24 92 12 33 , PSD@dst.dk , Get documentation of statistics as pdf, Labour Market Account 2021 , Previous versions, Labour Market Account 2019, Labour Market Account 2016, Labour Market Account 2015, Labour Market Account 2013, Labour Market Account 2014, New Labour Market Account concerning the population´s labour market status have been developed by Statistics Denmark. , The primary purpose of the Labour Market Accounts (LMA) is to provide a complete overview of the population´s labour market status compiled in terms of full-time persons, covering a given period of time or a given point-in-time., Statistical presentation, The Labour Market Account is compiled annually and provides information on the population´s labour market status, where labour-market related activities are given the highest priority. The statistics are compiled in terms of full-time persons. , Data on the population´s labour market status are broken down by socio-economic groups i.e. persons in employment, students, unemployed persons and other persons receiving public benefits, children and young people and other people outside the labour force., Read more about statistical presentation, Statistical processing, The primary statistical data for the LMA is a newly developed register called the AMR-UN (LMA without standardization of hours)., The AMR-UN is composed of administrative data, which are integrated and harmonised in a statistical system. , On the basis of the AMR-UN, the LMA is constructed by means of an hourly standardization of the population´s labour market status, where a person can at maximum contribute with 37 hours per week, corresponding to the existing hourly standard., Read more about statistical processing, Relevance, Over a number of years Statistics Denmark has carried out work on developing the LMA. Several users have indicated their great interest in and expectations with regard to the statistics/register. , Users of the LMA are typical ministries, organisations and research institutes, etc., Read more about relevance, Accuracy and reliability, In the LMA, a wide range of data sources are subjected to data editing and harmonisation in one statistical system. This implies that the LMA can conduct far better analyses of the labour market than the analyses that can be conducted by each individual statistic. At the same time, the LMA constitutes a census of the population and consequently, the statistical uncertainty is reduced compared to statistics compiled on the basis of sample surveys., Against this background, the quality of the statistics is considered to be relatively high. Despite this, there is still some degree of uncertainty linked to the statistics., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 15 months after the reference year., Read more about timeliness and punctuality, Comparability, The statistics cover the period 2008 to 2021, and during this period the development are comparable. , Read more about comparability, Accessibility and clarity, The statistic is published i the statbank , Labour market accounts, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/labour-market-account

Documentation of statistics

Documentation of statistics: Employee Trade Unions

Contact info, Labour Market, Social Statistics , Mikkel Zimmermann , +45 51 44 98 37 , MZI@dst.dk , Get documentation of statistics as pdf, Employee Trade Unions 2024 , Previous versions, Employee Trade Unions 2023, Employee Trade Unions 2022, Employee Trade Unions 2021, Employee Trade Unions 2020, Employee Trade Unions 2019, Employee Trade Unions 2018, Employee Trade Unions 2017, Employee Trade Unions 2016, Employee Trade Unions 2015, Employee Trade Unions 2014, Employee Trade Unions 2013, The purpose of the statistics is to compile aggregated annual statistics showing the number of members of employee organisations with attachment to the labour market. The statistics been complied since 1994, but is in its current form comparable from 2007 and onwards. , Statistical presentation, The statistics provide an overview of the number of members of employee organisations with attachment to the labour market i.e. excl. trainees, retirees, early retirees and self-employed. The statistics are grouped by central organisations/individual organisations and gender. The statistics are published annually and disseminated in the newsletter Nyt fra Danmarks Statistik and in the StatBank., Read more about statistical presentation, Statistical processing, These statistics are based on annual reports from employees' organisations on the number of members attached to the labour market per December 31. Data are typically validated by comparing the current year’s reporting with that of previous years for each organisation. As of the reference date 31 December 2023, total membership figures are also reported for each organisation. These totals are then compared with the reported number of members with labour market affiliation per organisation to ensure consistency., Read more about statistical processing, Relevance, Users of the statistics are typically employee and employer organisations, researchers and the media. No dissatisfaction has been expressed with the statistics., Read more about relevance, Accuracy and reliability, The statistics are based on reports from Central Employee Organisations and other employee organisations. Not all employee unions are able to calculate the precise figures exclusive members not attached to the labor market, i.e.. students, early retirees and pensioners, and self-employed. The data are therefore believed to be a little overestimated for some organisations. On the other hand, there may be small employee organisations that are not included. The data are normally not revised, but if errors are detected they are corrected back in time as far as possible. Although participation in the statistics is voluntary, all employee organisations appear to submit data., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 4-5 months after the reference date. , The statistics are usually published on the scheduled date without delay., Read more about timeliness and punctuality, Comparability, The statistics have been compiled (without data breach) since 2007. Minor breaks in the time series may occur when employee organisations change their reporting methods. For example, the previously observed sharp decline in membership figures for some organisations (mainly those under LO) from 2011 to 2012 was due to the inclusion of members without labour market affiliation in earlier reporting. However, this decline has been addressed as of the publication on 19 May 2025, by revising the reported figures downwards for the period 2007–2011., Read more about comparability, Accessibility and clarity, The statistics is published yearly in a Danish press release (Nyt fra Danmarks Statistik) at the same time as the tables are updated in the StatBank. In the StatBank, the statistics ca be found under the subject , Trade unions, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/employee-trade-unions

Documentation of statistics

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

Documentation of statistics: Cash Benefits

Contact info, Labour Market, Social Statistics , Carsten Bo Nielsen , +45 23 74 60 17 , CAN@dst.dk , Get documentation of statistics as pdf, Cash Benefits 2025 , Previous versions, Cash Benefits 2024, Cash Benefits 2023, Cash Benefits 2021, Cash Benefits 2020, Cash Benefits 2019, Cash Benefits 2018, Cash Benefits 2017, Cash Benefits 2016, Cash Benefits 2015, Cash Benefits 2014, The purpose of the statistics Cash Benefits is to measure the number of recipients (actual figures and seasonally adjusted), whole year persons and the amounts paid to person’s who receive cash benefits and related benefits. The statistics are used to public planning, budgeting in the municipalities, education, research and public debate. These statistics have been compiled since 1983, but is in its current form comparable from 2007 and onwards., Statistical presentation, Cash Benefits statistics are a monthly and yearly measurement of receivers of cash benefits and related benefits stated in number of recipients (actual figures and seasonally adjusted), whole year persons and the amounts paid in 1.000 DKK. The statistics cover persons who are above the age of 16 years old. Furthermore we have a yearly statistics grouped by ancestry, family type and national origin., Read more about statistical presentation, Statistical processing, Administrative data for these statistics are collected monthly from KY. The level and the development of the statistics are compared with the previous three months for every account code according to the authorized account plan. The collected data is processed according to the definition of affected persons. The definition can be found in section 2.04 , Statistical concepts and definitions, ., Read more about statistical processing, Relevance, These statistics are relevant for ministries, municipalities, organizations, education institutions, research institutions, the media and private persons, for analysis, public and private planning etc. The statistical data are also used in other areas within Statistics Denmark, e.g. analysis, production and validation of the statistics , People receiving public benefits, ., Read more about relevance, Accuracy and reliability, The statistics are based on records from KY. The records are based on an authorized account plan made by the Ministry of Health and the Interior. The municipalities have an economic incentive to make valid registrations. Therefore, the overall accuracy is at a high level., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published quarterly and yearly. The quarterly statistics are published 70 days after the end of the reference period while the yearly statistics are published 5-6 months after the reference period. Publications are released on time, as stated in the release calendar., Read more about timeliness and punctuality, Comparability, These statistics have been compiled since 1983 but is in its present form comparable from 2007 and onwards., Comparability over time can be divided in to three periods:, 1983 Quarter 2 - 1993 Quarter 4 - Number of families., 1994 Quarter 1 - 2006 Quarter 4 - Number of persons. , 2007 Quarter 1 - present - Number of persons. New source and counting., It is not possible directly to compare the statistics internationally, as other countries do not have the corresponding benefits and rules., Read more about comparability, Accessibility and clarity, These statistics are published quarterly in a Danish press release, at the same time as the tables are updated in the StatBank. The yearly statistics are only published in the StatBank. In the StatBank, these statistics can be found under the subject , Cash benefits, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/cash-benefits

Documentation of statistics

Documentation of statistics: Sickness benefits

Contact info, Labour Market, Social Statistics , Anna Skovbæk Mortensen , +45 21 77 67 54 , aom@dst.dk , Get documentation of statistics as pdf, Sickness benefits 2024 , Previous versions, The purpose of the Sickness Benefits statistics is to provide information about the costs of sickness benefits and the number of sickness benefit recipients, both in terms of the number of people affected and the number of full-time employees. The statistics have been compiled since 1995, but are in their current form comparable from the year 2020 onwards., Statistical presentation, Sickness benefit is an annual statement of the number of people, benefit days and amounts paid out in connection with illness. Furthermore, the extent of partially resumed work is calculated. The data is broken down by labour market affiliation, age, gender and geography. Furthermore, figures from the Sickness Benefit Statistics are included in the statistics Persons below the state pension age on public benefits, Labour Market Accounts and Absence, where the extent of absence due to illness is put into a larger context., Read more about statistical presentation, Statistical processing, When the data is received, all fields are checked by machine and the number of observations received matches the number of observations sent by KMD. If the data delivery cannot be approved, KMD is contacted in order to correct the delivery., Read more about statistical processing, Relevance, Sickness benefit statistics tell us how many man-years Danish society loses due to long-term illness and how long it will take the long-term sick person to return to the labour market if he or she returns., Read more about relevance, Accuracy and reliability, The statistics summarise the reports of illness that have triggered the payment of unemployment benefits. The expectation is that all sickness benefit cases with payment are reported. Therefore, the statistics can be expected to be accurate in relation to actual payments. However, some cases are not reported until long after the end of the period to which the case relates, which is why the last quarter is not fully updated. The delayed updates result in a revision the following year that is in the order of 0.5 per cent in an upward direction., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published annually at the beginning of April the year after the reference year. The statistics are usually published without delay in relation to the announced date, Read more about timeliness and punctuality, Comparability, The statistics are influenced by Danish legislation. Over the years, the period the employer must pay for in connection with illness has been increased from 14 days to 30 days, and as of December 2012, the right to receive sickness benefits on public holidays was cancelled., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under the subject , Sickness benefits, . For further information, gp to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sickness-benefits

Documentation of statistics

Signing the project proposal

The project proposal must be approved before a project becomes effective. It takes a signature from both Denmark’s Data Portal and a user with signatory role in your institution. Here you can read how to sign a project proposal and how, as the person responsible for authorisation or a substitute, you assign the role of signatory to users.,  , See the video guide (in Danish) on how to sign a project proposal in the DDP App, When you have submitted your project proposal to Denmark’s Data Portal, an employee will assess whether the proposal can be approved. If Denmark’s Data Portal estimates that the proposal cannot be approved, the contact person for the project will get a reason for the rejection and an opportunity to adjust the proposal., If the project proposal is approved, Denmark’s Data Portal will sign it. Subsequently, the contact person for the project, the administrator or the contact person with powers who submitted the proposal, as well as the chosen signatory will receive an email with information about the approval., When Denmark’s Data Portal has approved the proposal, the person who has been assigned the signatory role in your institution must sign the proposal. Only users who have been assigned the role of signatory can sign project proposals., To sign it, you – as the signatory – log into the DDP App. On the front page, you select “My overview” followed by “Project proposals for signature”. Here you can see all the project proposals that are ready to be signed., Select the project proposal that you want to sign. You can read the project proposal; see who has access to the project, and who is the contact person for the project. If you wish, you can refuse to sign, and then the project proposal is returned to the contact person for revision., If you want to sign the project proposal, you select the button “Sign”. Read the terms of the signature and tick the two fields to confirm that you want to sign the project proposal and that you are an employee of the institution in question. You can now click the button “Sign”., When as signatory you have signed the proposal, the submitter and contact person for the project will receive an email about the further course., Assignment of the role as signatory , If relevant, see the video guide (in Danish) about assignment of the role as signatory in the DDP App, A person responsible for authorisation or a substitute can assign the role as signatory to a user who is employed in the institution in question. The person responsible for authorisation or his or her substitute is responsible for ensuring that the signatory fulfils this requirement. Note that persons with the signatory role can sign on behalf of the institution to pledge that a project proposal is legal and conforming to Article 6 of the General Data Protection Regulation., Procedure:, When you are the person responsible for authorisation or a substitute and you want to assign a signatory role to a user, you must log into the DDP App., On the front page of the DDP App, you click ‘My overview’., Then select the institution that you want to manage., Click the three dots next to the name of the institution and select ‘Manage signatories’., Click ‘Select’ next to the users you want to make signatories, and click ‘Save’. (If you want to withdraw the role of signatory from a user, you must click the tick, so that it is removed, and then click ‘Save’.), The user has now become a signatory and can be designated to sign project proposals on behalf of the institution.

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

Statistics on the Danish national grid

Analyse geographical areas with the Danish national grid, The Danish national grid, which was established by Statistics Denmark and the Danish Geodata Agency, divides the country into thousands of cells, which can be filled with statistics. You can then analyse and aggregate the information in the grid e.g. for use in market analyses, for local planning or for research., Detailed content that is stable over time, The grid is stable over time, unlike administrative divisions such as municipalities, postcodes and parishes. We provide data on grid cells as small as 100 x 100 meter. Provided our requirements for non-identification of individuals or companies can be met (Privacy Requirements). Contact us if you need a different cell size., Below you can see an example of statistics on the grid. The map shows how many people live within each square kilometer (text in Danish only)., Number of inhabitants by 1 square kilometer cells, Attach population statistics to the cells, Statistics Denmark offers several types of statistics on the Danish national grid e.g. by municipalities, regions or the entire country., Statistics on the nighttime population, Here you will find information on the number of households and persons residing within the cells., Documentation - nighttime population, Table example - nighttime population., Statistics on the daytime population, Here you will find information about the number of people staying in the cells during the daytime. You can order two different datasets - one with the number of people in employment and one with the number of students., Documentation - daytime population - employed, Table example - daytime population - employed, Documentation - daytime population - studentst, Table example - daytime population - students, Statistics by other variables, Here you get statistics on the people who reside in the cells of the grid distributed by a number of variables for you to choose. See the overview and read more about standard variables in the documentation document below., List of variables - the Danish national grid, Prices, The Danish National Grid does not cost anything in itself. However, you can find the detailed price list for deliveries of statistics on the grid here:, Pricelist_National_Grid_2026 - English, Privacy Requirements, If you buy statistics from us, we are very careful to comply with the so-called discretionary - or privacy requirements. In practice, this means that we require a certain minimum number of households in each grid cell. The requirements are either 50, 100 or 150 households, depending on the statistical variable you have selected. Cells with a smaller number of households than the minimum requirement must be aggregated with other cells before statistics can be delivered. The merged cells are called clusters. You can read more about how we produce clusters here:, Fact Sheet about clusters, Fact sheet about clusters, You can find the requirements for number of households in the list of variables below:, List of variables - the Danish national grid, Ordering, To order statistics on the Danish National Grid, please click on the button below and fill out the form. We will then prepare an offer that you must approve., ORDER, Contact information, DST Consulting, tel +45 3917 3600, Allan Hansen, tel: +45 3917 3168, Related products, Statistics based on distances or neighbourhoods, Statistics based on roads and streets,  

https://www.dst.dk/en/TilSalg/produkter/geodata/kvadratnet

Request for subscription

In the DDP App, you can request a subscription if your institution has a project database scheme or authority scheme. , As an administrator or contact person, you can request a subscription in the , DDP App, . If you have an authority scheme or project database scheme, you can take out a subscription directly in the , DDP App, ., A subscription allows you to pre-order non-published data that are expected to be published in the selected delivery year. The subscription is valid for one calendar year., Note that a subscription is based on your last approved project proposal. You are only allowed to take out a subscription for registers that are part of that project. If you want to take out a subscription for registers that are not part of your last approved project proposal, you must first create and obtain approval of a re-proposal with the relevant data, for which you can subsequently take out a subscription., After you have requested a subscription, you will receive a quote and a contract for final approval. The subscription is not binding until both parties (your institution and Statistics Denmark) have signed the contract., This is how you request a subscription, Log into the DDP App., Select ‘My overview’., Access ‘Projects’ and click your project database or authority scheme., Access ‘Subscriptions’ and then click the ‘+’ icon. Click ‘Select registers’ to continue., In the box ‘Select subscription period’, you must select the year that you want a subscription for., Select which registers you want to include in the annual contract by clicking the small squares to the left of the register names., a. If you want to select all registers, you can click the square to the left of the heading ‘Register’., b. Squares with a grey slash through indicate that the register cannot be selected, for example because the register is no longer being updated., Under the column ‘Data set’, you can indicate how many data sets you want to receive., a. Select the option ‘All’: If the register is updated more than once a year, and you want e.g. to get all quarterly sets., b. Select the option ‘Annually’ (31.12.YYY): If you only want data for the whole year, even though it is updated quarterly., c. Select the option ‘Other’: Write to your Statistics Denmark project owner and elaborate on your wish. For example, it could be relevant for some users in connection with the DREAM register, which is released as monthly versions, but not every month, and where the release pattern is determined by the source providing data to DREAM., Continue by clicking ‘Submit’ at the bottom of the page. You can also save your request along the way. You can return to the subscription again by accessing ‘Subscriptions’, followed by clicking the subscription with the status ‘Created’. Select ‘Edit’ under the three dots., Click ‘OK’ in the info box to submit the request to Denmark’s Data Portal. You do , not , have an option to subsequently edit the subscription., After you have submitted it, your Statistics Denmark project owner may suggest specific data sets for the individual registers. You can see these suggestions via ‘My overview’ (select the project and then ‘Subscriptions’)., You can now engage in dialogue with your Statistics Denmark project owner as to whether you agree with the suggested data sets. You cannot change the selection yourself, but your project owner from Statistics Denmark can., When you have agreed on the contents, your Statistics Denmark project owner will prepare the contract for the subscription., When both parties have signed the contract, the subscription will be approved.

https://www.dst.dk/en/TilSalg/data-til-forskning/anmodning-om-data/anmodning-om-abonnement