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Vulnerable people, homeless people and sex workers

How many people are particularly vulnerable in Denmark?, Note: Below, we provide links to Statistics Denmark and others who make statistics on the subject. In some instances, the sources referred to below have content in Danish only or limited content in English., Statistics Denmark has several tables on people who are vulnerable under the subject , Social support services, , including e.g. crisis centres. In 2021, Statistics Denmark published the analysis ", Opvækst eller tilvækst – er socialt udsatte i landkommunerne tilflyttere?, “ (in Danish) on the geographic distribution of vulnerable people and where they come from., VIVE - the Danish Center for Social Science Research performs research surveys of particularly vulnerable groups and focus on e.g. the scale of the problems and the social costs. In 2018, VIVE released the report ", Når udsatte borgere møder velfærdssystemet, " (in Danish) along with a matching information booklet on the meeting between vulnerable citizens and the welfare system., In 2018, the National Institute of Public Health published a health profile for vulnerable citizens in Denmark – , sundhedsprofil for socialt udsatte i Danmark, (in Danish), which focuses on the health, morbidity and well-being of socially vulnerable citizens in 2017 and the development since 2007., How many homeless people are there in Denmark?, Since 2007, the number of homeless people in Denmark has been mapped every two years. See the most recent report on homelessness in Denmark – ", Hjemløshed i Danmark 2024, “ (in Danish) from VIVE, the Danish Center for Social Science Research., All previous reports on homelessness in Denmark (in Danish) are available at , VIVE’s website, ., Several publications, news and articles are available at VIVEs , temaside om hjemløshed, (in Danish), which is a theme page on homelessness., See also the homelessness barometer – , Hjemløsebarometeret, – from Hjem til Alle, which is an alliance of 20 partners working to stop homelessness among young people. The barometer puts Danish homelessness in a Nordic perspective in a , report from 2018, (in Danish)., Are there any homeless young people?, See the , theme pages on homelessness, among young people – unges hjemløshed by the National Board of Social Services., How many live in shelters?, In 2017, Statistics Denmark took over the responsibility for the annual statistics on users of shelters and care homes (the Social Services Act, section 110). See , subject page, and , tables in StatBank Denmark, . This set of statistics was previously published by the , Appeals Board, (in Danish)., How many sex workers are there in Denmark?, The National Board of Social Services’ , The Danish Centre against Human Trafficking, have information e.g. on the number of sex workers and customers, foreign women involved in sex work, trafficking in human beings, young people and paid sexual exploitation., See also , publications by the National Board of Social Services, (in Danish) on the subject, e.g. recent memos on the extent and forms of sex work., VIVE - the Danish Center for Social Science Research reports on the number of sex workers in the report ", Salg af sex i Danmark 2020, “ (in Danish)., In 2019, SSI and University of Aalborg published the report ", Sex i Danmark, “ (in Danish), in which there is a section focused on the extent to which people have either received payment for sex or paid for sex., [This page was last reviewed in July 2025],  

https://www.dst.dk/en/informationsservice/oss/Socudsatte

Documentation of statistics: General Enterprise Statistics

Contact info, Business Dynamics, Business Statistics , Julie Cathrine Krabek Sørensen , +45 23 66 46 60 , JCK@dst.dk , Get documentation of statistics as pdf, General Enterprise Statistics 2024 , Previous versions, General Enterprise Statistics 2023, General Enterprise Statistics 2022, General Enterprise Statistics 2021, General Enterprise Statistics 2020, General Enterprise Statistics 2018, General Enterprise Statistics 2017, General Enterprise Statistics 2016, General Enterprise Statistics 2015, General Enterprise Statistics 2014, General Enterprise Statistics 2013, General Enterprise Statistics 2012, The purpose of the statistics is to give a coherent and consistent description of the Danish business structure at the enterprise level., The General enterprise statistics, which were compiled for the first time for the year 1999, have replaced the Enterprise statistics produced for the years 1992-1999. , Statistical presentation, The General enterprise statistics covers real active enterprises in Denmark yearly. It contains economic and employment information concerning all sectors and industries. The General enterprise statistics is communicated in NYT from Statistics Denmark (in Danish) and via the StatBank. , Read more about statistical presentation, Statistical processing, The Statistics are collected yearly, and are based on internal registers in Statistics Denmark. Primarily the Statistical Business Register and the Account statistics. The sources are compiled an aggregated to the level of publication. There is a minimal error detection and treatment done, since the statistics mainly is based on final data from other statistics and registers., Read more about statistical processing, Relevance, The statistics is relevant for analysis of the Danish business development and structure., Users of the statistic are government agencies, corporate agencies, Eurostat, regions, counties as well as private enterprises and private persons., Read more about relevance, Accuracy and reliability, Generally the statistics is considered to be of high quality, since the central variable on number of enterprises are based on the administrative registrations. The possible uncertainties of the statistics are associated with the quality of the sources of the statistic. Especially Accounts Statistics for Non-Agricultural Private Sector., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published 18 months after the end of the reference year. The statistics is published without delays regarding scheduled release times. From the reference year 2016 the statistics is published with preliminary data 10 months after the end of the reference year. , Read more about timeliness and punctuality, Comparability, The General enterprise statistics covering only private enterprises excluding agriculture can be compared to the national published Account statistics for enterprises. The statistics is also published annually by Eurostat under the name "Business Statistics"., Read more about comparability, Accessibility and clarity, Current publication: News from Statistics Denmark (only Danish), The Danish StatBank, Statistical Yearbook and The statistical decade (only Danish), Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/general-enterprise-statistics

Documentation of statistics

Dissemination policy

Statistics Denmark must produce all official statistics on social and economic trends in Danish society. To achieve this objective Statistics Denmark complies with the international principles governing trustworthy official statistics, which are adopted by the European Union and the United Nations. , Against this background, the dissemination policy of Statistics Denmark is based on the principles governing: Independence, accessibility, trustworthiness and reliability – and with the objective of creating, to the greatest possible extent, coherence and relevance for the users. The news media is a target group of special priority with regard to dissemination. , Independence, Statistics must be impartial. Figures, analyses and explanatory text are prepared on an objective basis and independent of political and economic interests. , This is ensured by, the independent status of Statistics Denmark falling under the Ministry for Digital Government and Gender Equality.  ,  , Statistics must be compiled on a scientific basis, i.e. professional considerations determine the choice of methods applied for data collection, processing, storing and dissemination. , Statistical release dates are pre-announced in the scheduled release calendar on Statistics Denmark’s website. This is instrumental in ensuring that there is no political influence on the time for publishing statistical results. , Accessibility, All published statistics are readily available from Statistics Denmark’s website and the database Statbank Denmark (statistikbanken.dk). Some publications are also released on paper subject to a charge. The statistics can be freely used and quoted, provided that Statistics is stated as source. , Statistics must be published without any delay and when they are finally compiled. The statistical results must be available to all users at the same time. The statistics are published at 8 a.m. on the day of release. , All statistics are provided with access to documentation of methods, quality and concepts in the form of quality declarations., Trustworthiness, The picture provided by the statistics with regard to social and economic trends must be trustworthy and reliable. When errors are detected in the statistics published, the corrections are published as quickly as possible. Information about errors is announced on Statistics Denmark’s website, and the corrections are also made available from our website., As soon as Statistics Denmark becomes aware of erroneous or misconstrued interpretation of our figures by the news media, we respond by contacting the news media and offer assistance in correcting any errors. Grave misinterpretations can by corrected by means of a discussion paper prepared by Statistics Denmark., Confidentiality, In publishing statistics it is ensured that the statistical information cannot be referred to any identifiable businesses or persons. , Statistics Denmark grants access to micro data for purposes of authorized research and analyses, i.e. data at the levels of persons and business enterprises. It is impossible to identify individuals or businesses from the micro data made available. , Coherence, A variety of different dissemination channels for publishing statistics are applied by Statistics Denmark: Newsletters, publications, Statbank Denmark, subject pages, social media, etc. To ensure coherence across the dissemination channels, a subject structure is applied, making it possible to link from the general content to the more detailed tables and documentation and further on to related statistics of a subject. , Relevance, To ensure that statistics are disseminated in a way corresponding to the requirements of the users, current user satisfaction surveys are conducted. The requests of the users are also incorporated, through user committees and focus group interviews.

https://www.dst.dk/en/OmDS/kvalitet-og-styring/kvalitet-for-statistikproduktion/formidlingspolitik

Documentation of statistics: The Use of Cereals

Contact info, Food Industries, Business Statistics , Mads Haaning Andersen , +45 51 85 76 27 , MHG@dst.dk , Get documentation of statistics as pdf, The Use of Cereals 2024 , Previous versions, The Use of Cereals 2023, The Use of Cereals 2022, The Use of Cereals 2021, The Use of Cereals 2018, The Use of Cereals 2016, The Use of Cereals 2014, The purpose of the statistics is to compile a grain balance, primarily with the aim of calculating the quantities of grain that go to feed consumption, both for each individual crop and for the total amount of grain. In the grain balance, the amount of grain from harvest and import is calculated, and it is distributed among different uses. The statistics are used to calculate the Economic Accounts for Agriculture. Supply balance sheets for cereals for the crop year have been compiled since 1900/01. Balance sheets for the calendar year have been compiled since 1961. Data in its present form is comparable from 1995 onwards., Statistical presentation, The statistics is an annual calculation of the supply balance sheets for cereals in million kg. The utilization of cereals is calculated both for calendar year and crop years and is published for 6 different cereals and cereals in total. The supply balance sheets contain for each type of cereals statistics on cereals available: harvest, imports and initial stocks, as well as statistics on the use of cereals for different purposes: exports, final stocks, seeds, flour production and other manufacturing, feeding. Moreover, the supply balance sheets are produced based on the origin of the cereals, whether it is produced in Denmark or abroad., Read more about statistical presentation, Statistical processing, The data is collected in biannual and annual questionnaires where the incoming data is checked. Data is from different sources where some are sample surveys and others are censuses why there can be differences in how the further data is calculated. Censuses are aggregated whereas sample surveys are listed according to known target variable. , Read more about statistical processing, Relevance, It is relevant for the agricultural organizations, ministries and agencies, who uses it to follow the development in the use of cereals in Denmark. Moreover it is an input to the Economic Accounts for Agriculture. The users can comment on the statistics in the user committee for agricultural statistics and the users have expressed satisfaction with the statistics. , Read more about relevance, Accuracy and reliability, The utilization of cereals are build on sample surveys for stock of cereals at farms, the harvest of cereals and international trade of goods and the results are therefore subject to some uncertainty. The data on the use of cereals for feeding are subject to some margin of errors, as the use for feeding is calculated as a residual in the balance sheets. The data on the use of cereals for feeding are subject to some margin of errors, as the use for feeding is calculated as a residual in the balance sheets., Read more about accuracy and reliability, Timeliness and punctuality, It is published twice a year- The statistics concerning the crop year, end of period June 30th, is published in January/February together with the feed consumption, approximately 6 months after the end of the reference period. The statistics following the calendar year is published in May together with the Economic Accounts for Agriculture, barely 6 months after the end of the reference period. Data is preliminary until 2,5 years after the end of the reference period. The statistics is punctual and is published without delay., Read more about timeliness and punctuality, Comparability, The utilization of cereals is comparable back to the crop year 1960/61 and the calendar year 1960. Stocks were not a part of the statistics before 1960. It is in compliance with the current EU legislation and it is an input to the Economic Accounts for Agriculture which is comparable to the Economic Accounts for Agriculture published by Eurostat., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Crop production, . For further information, go to the , Crop production, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/the-use-of-cereals

Documentation of statistics

Labour market accounts

The purpose of the labour market accounts is to compile an annual statement of the population’s attachment to the labour market calculated in full-time persons. , Introduction, The labour market accounts consist of two longitudinal registers., The first one is not time-standardized. This means that a person can have activities (eg. two jobs) which together make up more than 37 hours per week. This register is the data base for the register-based labour force statistics (RAS), the quarterly labour force statistics (KAS), establishment-related employment statistics and the NEET-indicator (young people without employment and education). This register enables, for example, that the population’s attachment to the labour market to be calculated at any time during the year., The second register is hourly standardized in relation to a standard working week of 37 hours. The second longitudinal register is the data source for the two tables AMR1 and AMR2 in the statbank. When the annual attachment to the labour market for the entire population is calculated on this register, it is equal to the average population in the year., 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, The population's attachment to the labour market (Full-time people) by socioeconomic status and time, Unit: , Number, 2023, Ordinary employment total, 2,392,399, Subsidized employment with salary, 41,312, Temporarily absence from employment, 103,510, Unemployed, 80,778, Subsidized employment without salary, 7,916, Persons receiving holiday benefits, 1,205, Guidance and activities upgrading skills, 9,887, Unemployment benefit, 13,596, Parental leave from unemployment, 0, Maternity absence from unemployment, 5,211, Sickness absence from unemployment, 25,624, Flex pay subsidy, 60,861, Cash benefit (passive)/cash benefit for foreigners , 61,351, Rehabilitation, 210, Specially arranged scheme, 15,566, Job clarification program, 17,908, Disability pension, 229,235, Early retirement pay, 33,961, Flex benefit, 1,957, Old-age pension, 1,011,605, Other pensions, 25,276, Enrolled in education, 1,002,715, Children and youth (not enrolled in education), 386,144, Others outside the labour force, 376,252, In Statbank Denmark, you can find more data on The population's attachment to the labour market (Full-time people) (AMR1), Related content in Labour market accounts, 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/arbejdsmarkedsregnskab

Subject page

Aquaculture

Structure and production describes the different production facilities and the production of fish from aquaculture. Account statistics for aquaculture describes the economy of the Danish aquaculture, deriving from the accounts from the production facilities. , Introduction, Structure and production describes the number of different production facilities and the production of fish by main species., Account statistics for aquaculture describes the economy by farm types, Traditional farms, recirculated farms, Sea farms, Eel farms and shellfish farms. Approximately 230 farms are commercially active in Denmark; most of the farms are traditional land based fish farms., 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., Account Statistics for Fishery, Accounts Statistics for Aquaculture, Key figures, In Statbank Denmark, you can find more data on Accounts statistics for aquaculture (AKREGN1), Accounts statistics for aquaculture by unit, time, items and farm type, All farms, Traditional farms, Farms with low recirculation degree , Farms with medium recirculation degree, Farms with high recirculation degree, Sea farms, Total, 2023, Q.1 Population, units, 176, 59, 23, 17, 22, 19, Q.2 Sample, units, 82, 18, 14, 9, 12, 16, A.1 Operative assets, beginning of year, 1000 DKK, 2,091,813, 364,119, 153,697, 194,317, 681,613, 639,403, A.9 Electricity, mWh, 90,204, 12,933, 10,760, 24,299, 41,083, 1,093, B PRODUCTION, TONNES, 52,819, 6,688, 4,268, 8,230, 10,352, 14,335, D GROSS OUTPUT, 1000 DKK, 1,691,797, 258,094, 139,867, 240,990, 405,410, 600,776, E COSTS, 1000 DKK, 1,548,840, 228,232, 134,553, 217,243, 410,016, 512,003, G FINANCIAL EXPENDITURES, 1000 DKK, 39,222, 5,447, 2,762, 2,037, 24,938, 2,539, H NET PROFIT, 1000 DKK, 103,736, 24,414, 2,552, 21,710, -29,545, 86,233, M ASSETS, END OF YEAR, 1000 DKK, 2,338,854, 420,844, 166,057, 192,669, 775,022, 724,321, O NET CAPITAL, BEGINNING OF YEAR, 1000 DKK, 910,504, 122,015, 12,522, 52,909, 168,797, 522,535, In Statbank Denmark, you can find more data on Accounts statistics for aquaculture (AKREGN1), Related content in Aquaculture, Tables in Statbank , Scheduled releases , Contact, Michael Brogaard, Phone: +45 51 62 70 89, Mail: , mib@dst.dk

https://www.dst.dk/en/Statistik/emner/erhvervsliv/fiskeri-og-akvakultur/akvakultur

Subject page

Fishery

Structure and production statistics describes vessels and landings in the Danish fishing fleet. The fleet is populated by all registered Danish fishing vessels. Data on landings describes landings from Danish vessels nationally and internationally. Furthermore landings in Danish ports from vessels of all nationality are also described. Account statistics for fishery describes the economy of the Danish fleet, deriving from the accounts of the vessels. , Introduction, The fleet statistics describes the fleet by number of vessels, tonnage, engine power, type of vessel, vessel length and national region., Landings are described by main species, harbour of landing, regional sea of catch, landed weight, live weight and value of landing., Account statistics for fishery describes the economy by vessel length and year. The costs describes among other thing fuels consumption, landing costs and wages., 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., Account Statistics for Fishery, Danish Vessels, Landings of fish, Key figures, In Statbank Denmark, you can find more data on Danish vessels (FISK1), In Statbank Denmark, you can find more data on Landings in Denmark (FISK3), In Statbank Denmark, you can find more data on Landings in Denmark (FISK3), In Statbank Denmark, you can find more data on Accounts statistics for fishery (average per unit) (FIREGN2), Accounts statistics for fishery (average per unit) by vessel length, items and time, 2022, 2023, ALL FISHINGFIRMS, Q.1 Population, units, 381, 350, Q.2 Sample, units, 188, 170, A.1 Operative assets, beginning of year, 1000 DKK, 39,961, 69,381, A.2 Vessel tonnage, GT, 169, 176, A.3 Vessel activity, days at sea, 132, 133, A.8 Fuel, 1000 litre, 193, 223, D GROSS OUTPUT, 1000 DKK, 7,953, 9,435, E COSTS, 1000 DKK, 6,422, 7,079, F OPERATING PROFIT, 1000 DKK, 1,531, 2,356, G FINANCIAL EXPENDITURES, 1000 DKK, 568, 1,468, H NET PROFIT, 1000 DKK, 963, 888, M ASSETS, END OF YEAR, 1000 DKK, 57,563, 74,326, N.3 Net capital, end of year, 1000 DKK, 21,064, 29,853, In Statbank Denmark, you can find more data on Accounts statistics for fishery (average per unit) (FIREGN2), Related content in Fishery , Tables in Statbank , Scheduled releases , Contact, Charlotte Spliid Hansen, Phone: +45 29 41 97 76, Mail: , chh@dst.dk

https://www.dst.dk/en/Statistik/emner/erhvervsliv/fiskeri-og-akvakultur/fiskeri

Subject page

Documentation of statistics: Environmental Goods and Services

Contact info, Science, Technology and Culture, Business Statistics , Henrik Huusom , +45 40 38 36 43 , hhu@dst.dk , Get documentation of statistics as pdf, Environmental Goods and Services 2024 , Previous versions, Environmental Goods and Services 2023, Environmental Goods and Services 2022, Environmental Goods and Services 2021, Environmental Goods and Services 2020, Environmental Goods and Services 2019, Environmental Goods and Services 2017, Environmental Goods and Services 2015, Environmental Goods and Services 2013, The statistics on environmental goods and services shows economy and employment related to market-based business activities within environmental protection and resource saving areas. The statistics contribute to the overall picture of what happens in the environmental field and is a part of the environmental accounts. First results covers 2012., Statistical presentation, Environmental goods and services (EGSS) are products with either specific environmental or resource saving purposes (e.g. waste water management or production of windmills) or general products cleaner and/or more resource efficient than similar types. Freezers with low energy consumption and construction of low energy houses are examples. The statistics is part of the the Environmental-Economic Accounts for Denmark and present results by environmental and resource saving purposes and by type of industry., Read more about statistical presentation, Statistical processing, The data basis for 2024 results is partly a projection of 2023 data collected from a survey among a sample of companies with 10 employees or more in relevant industries, and partly a wide range of different sources such as existing statistics and industry analyses. Estimates for smaller business units as well as results from other existing sources are included in the final compilation of the statistics., Read more about statistical processing, Relevance, The data users are mainly public authorities working with environment, resources and business activities and international goals in these areas, including the SDG's from 2015. Associations in the same fields are interested as well. The level of satisfaction has not yet been measured., Read more about relevance, Accuracy and reliability, There are several sources of errors, which are considered to induce uncertainty to the results for environmental goods and service. In particular, this is due to the level of clarity of definitions on EGSS. This size of this problem has been reduced by very intensive validation of data., Errors exist mainly in the special surveyed data. In particular the result regarding firms with less than 10 employees have significant errors due to estimation methods., Read more about accuracy and reliability, Timeliness and punctuality, First publication based on provisional data is normally released about 11 month after end of reference year. , Read more about timeliness and punctuality, Comparability, The statistics exist for 2012 to 2024. Results for these years can be compared, taken in consideration that results 2012-2014 on construction and knowledge service most probably were underestimated., In principle the results for Denmark can be compared with results from other EU-countries, but different compiling methods may affect the conclusions., Read more about comparability, Accessibility and clarity, The main variables are published in a Danish press release and in StatBank Denmark under the subject , Green economy, ., For a broader description, publications was produced in 2015., It is possible to link data on EGSS with data on e.g. research, education and salaries., More information can be found under the subject: , Environmental-economic accounts, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/environmental-goods-and-services

Documentation of statistics

Holiday and business trips

For decades Spain has been the favorite travel destination for Danes when it comes to long holiday travels with at least four overnight stays. Italy, France, Sweden and Germany normally also attract many Danish tourists. , Introduction, For decades Spain has been the favorite travel destination for Danes when it comes to long holiday travels with at least four overnight stays. Italy, France, Sweden and Germany normally also attract many Danish tourists., The statistics cover what countries we visit, how long we are there for but also what the purpose of the holiday visit was both in Denmark and abroad. The following are among the most common purposes:, Visit with family or friends, City break, Beach holiday, Holiday house, For long trips the transportation to the holiday destination is mostly frequently by plane. However, the car is most frequently used when it comes to shorter stays abroad with one, two or three overnight stays., The statistics are calculated from a sample survey among Danes aged 15 years or older and also covers numbers for business trips.The numbers cover how much money the holiday or business trips costed on average and whether the accommodation was a hotel/holiday center, holiday house or with family and friends., 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., Leisure and Business Trips, Key figures, In Statbank Denmark, you can find more data on Holidays abroad (FF1), Holidays by time, duration, purpose and destination, Unit: , Per cent, Denmark, World outside Denmark, 2024, Less than four nights stays, Holiday home, 12, 5, Beach holiday, 34, 69, City travel, 0, 0, Nature, 0, 0, Visiting family and friends, 49, 21, Event travel, 0, 0, Four over nights stays or more, Holiday home, 19, 5, Beach holiday, 54, 77, City travel, 0, 0, Nature, 0, 0, Visiting family and friends, 23, 13, Event travel, 0, 0, In Statbank Denmark, you can find more data on Holidays (FF2), Related content in Holiday and business trips, Tables in Statbank , Scheduled releases , Contact, Karen Keller, Phone: +45 21 19 85 61, Mail: , kke@dst.dk, Majbrit Holst, Phone: +45 24 94 08 24, Mail: , mbj@dst.dk

https://www.dst.dk/en/Statistik/emner/erhvervsliv/overnatninger-og-rejser/ferie-og-forretningsrejser

Subject page

Databank of basic data

Here you can read a general description of the databank of basic data in Denmark’s Data Portal (DDP)., Basic data (also called ‘DDP basic data’ or ‘data in the databank of basic data in Denmark’s Data Portal’) refers to the microdata that DDP offers to external users for research and statistical purposes. Statistics Denmark (DST) has collected a wide range of register data with historical information in a bank of basic data within the DDP App. The various registers come from both external sources and internal statistical offices. Thematically, the data cover a broad spectrum, and the statistical unit may be individuals, addresses, enterprises, library loans, motor vehicles, and more. All basic data must comply with a set of standards for formats and naming etc., The data undergo extensive processing before being placed in the bank of basic data. There are several reasons for this:, Standardization saves users time-consuming preparation: by ensuring uniform data, external users can avoid a significant amount of manual data processing., Key variables must be standardized to enable data linkage: combining data across years and registers requires a common standard for key variables., Key variables must be standardized to enable pseudonymization: data can only be pseudonymized correctly if variables follow fixed standards and naming., Purpose of the databank of basic data, The purpose of the databank of basic data is to collect microdata for research and analysis in a way that makes it easy and straightforward to make microdata available to researchers., Content and use of the databank of basic data, DDP aims to ensure that all DST data from the official statistical program are available as basic data. This primarily includes microdata related to individuals, enterprises, or addresses., DST also holds data that are not part of the official statistical program but which DDP has received or collected for various reasons. This type of data is also made available as basic data to support reuse, rather than requiring the statistical offices to design customized extracts for the users., To qualify as basic data, a number of conditions must be met. For certain data, special considerations regarding data confidentiality, funding arrangements or data quality may influence how the data can be used. DST enters into agreements with other authorities (and data owners) for regular deliveries of register data that can be made available to researchers. These data are also placed in the databank of basic data. Read more under , Data from other data providers for the databank of basic data, ., Before data may be used on the research server, variables that can directly identify individuals undergo pseudonymization. This means that all variables containing identification information such as CPR numbers, CVR numbers, addresses, and property numbers, are recoded in a pseudonymization process before being transferred to the user’s project. Each register includes a marking of which variables must be pseudonymized. When new variables are added to a register, DDP assesses, together with the data owner and based on the data confidentiality policy, whether the variables must be pseudonymized before the data can be released for research and analysis., Applying the procedures and guidelines described, ensures that data stored in the databank of basic data and presented within DST follow a standardized format. This makes it easy for researchers to access the data and navigate the available datasets. Read more about where to find documentation for basic data on the page , Documentation of data, .

https://www.dst.dk/en/TilSalg/data-til-forskning/generelt-om-data/grunddatabanken