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    Documentation of statistics: Transport by Ferries and Passenger Ships

    Contact info, Short Term Statistics, Business Statistics , Heidi Sørensen , +45 24 79 86 81 , POT@dst.dk , Get documentation of statistics as pdf, Transport by Ferries and Passenger Ships 2025 Quarter 1 , Previous versions, Transport by Ferries and Passenger Ships 2024 Quarter 1, Transport by Ferries and Passenger Ships 2023 Quarter 1, Transport by Ferries and Passenger Ships 2022 Quarter 1, Transport by Ferries and Passenger Ships 2021 Quarter 4, Transport by Ferries and Passenger Ships 2021 Quarter 3, Transport by Ferries and Passenger Ships 2021 Quarter 2, Transport by Ferries and Passenger Ships 2021 Quarter 1, Transport by Ferries and Passenger Ships 2020 Quarter 4, Transport by Ferries and Passenger Ships 2020 Quarter 3, Transport by Ferries and Passenger Ships 2020 Quarter 1, Transport by Ferries and Passenger Ships 2019 Quarter 4, Transport by Ferries and Passenger Ships 2019 Quarter 3, Transport by Ferries and Passenger Ships (Quaterly) 2019 Quarter 2, Transport by Ferries and Passenger Ships 2019 Quarter 1, Transport by Ferries and Passenger Ships 2018 Quarter 4, Transport by Ferries and Passenger Ships 2018 Quarter 3, Transport by Ferries and Passenger Ships 2018 Quarter 2, Transport by Ferries and Passenger Ships 2018 Quarter 1, Transport by Ferries and Passenger Ships 2017 Quarter 4, Transport by Ferries and Passenger Ships 2017 Quarter 3, Transport by Ferries and Passenger Ships 2017 Quarter 2, Transport by Ferries and Passenger Ships 2017 Quarter 1, Transport by Ferries and Passenger Ships 2016 Quarter 4, Transport by Ferries and Passenger Ships 2016 Quarter 3, Transport by Ferries and Passenger Ships 2016 Quarter 2, Transport by Ferries and Passenger Ships 2014 Quarter 3, The purpose of the statistics on transport by ferries and passenger ships is to describe the transport of passengers and goods by ferries and passenger ships on domestic routes and in traffic between Danish and foreign ports., The statistics are together with the other transport statistics used for analyses of the transport of passengers and goods. In the current form the statistics has been made since 1990., Statistical presentation, The statistics on transport by ferries and passenger ships are a monthly and annual statistics on the transport of passengers and goods by ferries and by passenger ships between Danish ports or between Danish and foreign ports. , The most important variables used in the statistics are: Trips, passengers, vehicles, goods on road vehicles and other goods., The statistics are published annually in , Nyt fra Danmarks Statistik, and quarterly in the Statbank., Read more about statistical presentation, Statistical processing, Data for the statistics are collected through an electronic questionnaire. The statistics cover all ferry lines and passenger ships with goods or passenger traffic in route to or from Denmark., The response rate is 100 percent., Data are checked both automatically and manually at the time of data collection and in case of large deviations or missing reports the reporting company is contacted again. For a few operators the total freight weight is imputed based on the number of freight vehicles reported. The validated micro-data is aggregated and then checked for major fluctuations., Read more about statistical processing, Relevance, The statistics are used regularly by new media, consultancies, business associations, port enterprises, shipping lines and other enterprises as well as Eurostat for e.g. analyses of maritime traffic, investments in infrastructure, analyses of the maritime transport sector, economic development and environment., Read more about relevance, Accuracy and reliability, The statistics is assessed to be reliable as the main series are based on financial information from the reporters (ticket sale). Furthermore the reporters are obliged to monitor the number of passengers and vehicles onboard., There is few and minor revisions and few errors are found in reported data., The smallest ferry lines are not included in the statistics. Usually this is lines to the smallest Danish islands or crossing fjords., In the main series uncertainty is largest for goods by goods motor vehicles that in some cases are estimated based on the number of goods motor vehicles. Additionally, the number of bicycles and caravans are uncertain., Read more about accuracy and reliability, Timeliness and punctuality, The quarterly statistics are published around 55 days after the end of the quarter. Since statistics for the first quarter 2012 the statistics has been published at the pre-announced date., Read more about timeliness and punctuality, Comparability, In its present form the statistics is consistent since 1990 for annual figures and 2000 for monthly figures. The statistics are processed according to common EU guidelines and therefore comparable with statistics from other countries published by Eurostat., Read more about comparability, Accessibility and clarity, These statistics are published annually 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 , Passengers and routes, . For further information, go to the , subject page, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/transport-by-ferries-and-passenger-ships

    Documentation of statistics

    Documentation of statistics: Labour Force Survey (LFS)

    Contact info, Labour Market, Social Statistics , Daniel F. Gustafsson , +45 20 51 64 72 , DFG@dst.dk , Get documentation of statistics as pdf, Labour Force Survey (LFS) 2025 Quarter 2 , Previous versions, Labour Force Survey (LFS) 2025 Quarter 1, Labour Force Survey (LFS) 2024 Quarter 4, Labour Force Survey (LFS) 2024 Quarter 3, Labour Force Survey (LFS) 2024 Quarter 2, Labour Force Survey (LFS) 2024 Quarter 1, Labour Force Survey (LFS) 2023 Quarter 4, Labour Force Survey (LFS) 2023 Quarter 3, Labour Force Survey (LFS) 2023 Quarter 2, Labour Force Survey (LFS) 2023 Quarter 1, Labour Force Survey (LFS) 2022 Quarter 4, Labour Force Survey (LFS) 2022 Quarter 3, Labour Force Survey (LFS) 2022 Quarter 2, Labour Force Survey (LFS) 2022 Quarter 1, Labour Force Survey (LFS) 2021 Quarter 4, Labour Force Survey 2021 Quarter 3, Labour Force Survey 2021 Quarter 2, Labour Force Survey 2021 Quarter 1, Labour Force Survey 2020 Quarter 4, Labour Force Survey 2020 Quarter 3, Labour Force Survey 2020 Quarter 2, Labour Force Survey 2020 Quarter 1, Labour Force Survey 2019 Quarter 4, Labour Force Survey 2019 Quarter 3, Labour Force Survey 2019 Quarter 2, Labour Force Survey 2019 Quarter 1, Labour Force Survey 2018 Quarter 4, Labour Force Survey 2018 Quarter 3, Labour Force Survey 2018 Quarter 2, Labour Force Survey 2018 Quarter 1, Labour Force Survey 2017 Quarter 4, Labour Force Survey 2017 Quarter 3, Labour Force Survey 2017 Quarter 2, Labour Force Survey 2017 Quarter 1, Labour Force Survey 2016 Quarter 4, Labour Force Survey 2016 Quarter 3, Labour Force Survey 2016 Quarter 2, Labour Force Survey 2016 Quarter 1, Labour Force Survey 2015 Quarter 4, Labour Force Survey 2015 Quarter 3, Labour Force Survey 2015 Quarter 2, Labour Force Survey 2015 Quarter 1, Labour Force Survey 2014 Quarter 4, Labour Force Survey 2014 Quarter 3, The purpose of the Labour Force Survey (LFS) is giving a description of the labour market status of the population. The LFS gives insight into how many people are employed, unemployed or outside the labour force (economically inactive). The LFS also manages to measure information like how many people are working part time; how many hours men in their 30s or 40s usually work; or how many elderly people outside the labour market would like to have a job. The LFS has been conducted yearly since 1984, and from 1994 the survey has been conducted continuously throughout the year., Statistical presentation, The Labor Force Survey is a quarterly sample-based interview survey on the Danish population between 15 and 89 years. The survey sheds light on how many are employed, unemployed (LFS unemployed) or outside the labor force. The survey provides detailed data on e.g. hours worked, conditions of employment, job search, education by regions, age and sex. Consequently the survey can, among other things, estimate the number of employed people who work at home regularly; how many self-employed people who work during weekends; or how many people have have a part-time job. , Read more about statistical presentation, Statistical processing, The Labour Force Survey is the most comprehensive continuous survey in Denmark based on approx. 72,000 participants on an annual basis. The interviews are conducted by online interview or telephone. The survey is based on a stratified sample of the population. In drawing the sample administrative resources are used to obtain various background information on the people interviewed. The sample is weighted to measure the entire population in Denmark., Read more about statistical processing, Relevance, The Danish Labour Force Survey (LFS) is the contribution to the European LFS and data are delivered quarterly to the European Statistical office., Labour Force Surveys are carried out in every European country as well as in many other countries around the world following common concepts and guidelines. This makes the Labour Force Survey the best Danish survey for international comparisons on labour market statistics., Read more about relevance, Accuracy and reliability, The Labor Force Survey (LFS) has a relatively large sample and there are continuous improvements in enumeration methods. This provides reliable statistics for the population's connection to the labor market, although there is uncertainty linked to the selection of the sample and the structure of the non-response., In Q1 2016, the response rate was exceptionally low, creating greater uncertainty about the figures. Furthermore, web interview (CAWI) has been introduced as a new data collection method. The two factors created breaks in the time series. The breaks are corrected on the main series., Read more about accuracy and reliability, Timeliness and punctuality, The Labour Force Survey is published 1.5 months after the end of a reference period and usually without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The Labor Force Survey (LFS) has been conducted since 1994 and tables can be found at StatBank Denmark from 1996 onwards. A new enumeration method has been introduced, where the sources only go back to 2008. The new series therefore only go back to 2008 in comparable form. LFS is made according to the same guidelines in all EU countries and several other countries and is therefore well suited for international comparisons., Read more about comparability, Accessibility and clarity, These statistics are published quarterly and yearly in a Danish press release. In StatBank Denmark these statistics are published under the topic , Labour Force Survey (LFS), . For further information, see the , subject page, ., More detailed statistical data can be purchased via DST Consulting, see , customised statistics, ., It is also possible to access micro-data through , Statistics Denmark's Research Service, ., Read more about accessibility and clarity

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

    Documentation of statistics

    Economy in the cultural field

    The statistics The importance of cultural and creative industries in the national economy are presented within a national accounting framework and provide an overall measure of the industries' production, gross value added (GVA), imports, exports and employment. The statistics regarding public funding for cultural purposes, show the amounts of money allocated by the public sector, e.g. the state and municipalities, for cultural purposes. These grants are distributed across various cultural areas such as sports, libraries, radio and TV, performing arts, museums and music. The statistics Payments by the Ministry of Culture show the distribution of government funds allocated within the Ministry of Culture’s domain. , Introduction, The purpose of the statistics The importance of cultural and creative industries in national economy is to show the significance of cultural and creative industries in the Danish economy, presented within a national accounting framework. Concepts from national accounts, such as production and gross value added (GVA), are linked to the classifications of cultural and creative industries. The aim is to reflect not only the direct activities within the cultural and creative industries but also the indirect activities taking place in other sectors that support them. , The statistics Public funding for cultural purposes cover the public sector (state and municipal) cultural budget and show the funds allocated to cultural institutions, projects and individuals. These funds are used for the operation of institutions, subsidies for specific activities/projects, scholarships, construction projects, distribution support, etc., The statistics Payments by the Ministry of Culture show the allocation of state funds distributed within the area of the Ministry of Culture. The funds are allocated to cultural institutions, projects, artists and others. They are distributed for operations and specific activities as well as for library remuneration, grants and more. In the statistics, funds are recorded at the point when the recipient gains control over the funds., 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., Payments by the Ministry of Culture, Public Funding for Cultural Purposes, The importance of cultural and creative industries in the national economy, Key figures, In Statbank Denmark, you can find more data on Public funding for cultural purposes (BEVIL02), In Statbank Denmark, you can find more data on Payments by the Ministry of Culture (KUBS01), Related content in Economy in the cultural field, Tables in Statbank , Scheduled releases , Contact, Anders Yde Bentsen, Phone: +45 40 33 68 81, Mail: , ayb@dst.dk

    https://www.dst.dk/en/Statistik/emner/kultur-og-fritid/kulturomraadets-uddannelse-oekonomi-og-beskaeftigelse/kulturomraadets-oekonomi

    Subject page

    Services of service industries

    Service industries reveals for 10 different industry groups within the service industries how the turnover is distributed between different services and exports. The services are specific to the individual industry groups, and you can thus get a fairly detailed insight into the services that the service industries in question sell. , Introduction, Service industries reveals for 10 different industry groups within the service industries how the turnover is distributed between different services. In addition, it is calculated how much of the total turnover is exports. The statistics are produced annually, however, 6 of the 10 industry groups are only calculated every other year., The industry groups consist of:, Computer services, Temporary employment agencies, Advertising services, Legal activitties, Technical testing and analysis*, Architecture*, Engineering activities and related technical consultancy*, Market research and public opinion polling*, Accounting, book-keeping and auditing activities*, Business and management consultancy activities*, * The statistics are only published every two years., The services are specific to the individual industry groups, and you can thus get a fairly detailed insight into the services that the service industries in question sell., The main figures below only include selected main industries. , Find tables for all ten service occupations in the Stat Bank., 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., Accounting, Book-Keeping and Auditing Activities, Advertising Services, Architecture, Business and Management Consultancy Activities, Business Services in the Sector for Market Research and Public Opinion Polling, Business Services in the Sector for Technical Testing and Analysis, Computer Services, Engineering Activities and Related Technical Consultancy, Legal Activities, Services of service industries, Temporary Employment Agencies and Other Human Provision Services, Key figures, Statistics Denmark makes statistics within 10 different service industries: Computer services, Temporary employment agencies, Advertising services, Legal activitties, Technical testing and analysis, Architecture, Engineering activities and related technical consultancy, Market research and public opinion polling, Accounting, book-keeping and auditing activities and Business and management consultancy activities. On this page you can see a selection of the statistics. , Find tables for all 10 service industries in the StatBank, ., In Statbank Denmark, you can find more data on Turnover for advertising services (SERV2512), In Statbank Denmark, you can find more data on Computer Services (SERV2501), In Statbank Denmark, you can find more data on Accounting, book-keeping and auditing activities (SERV1406), In Statbank Denmark, you can find more data on Number of hours sold in permanent placement (SERV2511), Related content in Services of service industries, Tables in Statbank , Scheduled releases , Contact, Emil Tappe Bang-Mortensen, Phone: +45 24 67 85 25, Mail: , ebm@dst.dk

    https://www.dst.dk/en/Statistik/emner/erhvervsliv/serviceerhverv/serviceydelser-for-serviceerhverv

    Subject page

    Green economy

    How much does the public sector pay in environmental transfers? And what are the revenues from environmental taxes? The statements from the green national accounts cover the public sector’s environmental expenditures and revenues, companies’ environmental protection expenditures, companies’ production of environmental goods and services, as well as environmental taxes and environmental transfers., Current prices , Prices or price level that applies to goods and services in the current period. The opposite of current prices is fixed prices., Environmental taxes, The figure shows the public revenue from environmental taxes in recent years. The environmental taxes include tax on resource rent, meaning the public revenue from the North Sea. It is calculated in current prices. , In Statbank Denmark, you can find more data on Environmentaly related taxes (MREG21), More about the figure, Last update, 24.6.2025, Next update, 24.6.2026, Source data, The source material for the statistics is the public finances, as they are stored, after national accounts coding, in the database DIOR (Database for Integrated Public Accounts). Using selected expenses and revenue from DIOR, tables are compiled to cover the three main subject areas of these statistics (see 2.1). For a more detailed description of DIOR, see the statistical documentation for , Government Finance Statistics, ., Read more about sources, method and quality in the documentation of statistics on Public Expenditure and Revenue on the Environment, Environmental goods and services, The table shows the total turnover of environmental goods and services, as well as a breakdown into environmental protection, resource management, and types of industries. Environmental goods and services help reduce the negative impact on the climate by for example decreasing the consumption of scarce natural resources or reducing the emission of harmful substances., More about the figure, Last update, 22.11.2024, Next update, 17.12.2025, Source data, There are overall two sources for the statistics:, A. A survey by questionnaire, where enterprises are asked about turnover in 2013, 2015, 2017, 2019, 2021 and 2023 from EGSS broken down by environmental purposes. About 1.700 units were selected in 2023 as a sample covering a population of about 6.100 business units in the respective types of industry. The selection is by stratified methods., The stratification is by type of industry and by number of employees (10-19, 20-49 and 50+). In the last group the selection is 100 per cent of population. Within manufacturing a pre-selection is carried out according to a list of environmental goods type of goods (CN8). Within advisory service engineer firms are prioritized. In 2013 Enterprises in Nace_rev2 38 and 39 was selected 100 per cent. from 2015 results for this sector is estimated from other statistics, B. Existing data from Statistics Denmark or other agencies, which could be used, either directly or as source for estimation. , Both sources are linked to statistical data on employment, value added and export., The , survey, covers the following types of industry: 13, 14, 16, 17, 18 (from 2015), 20, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31 (from 2021), 33, 41+42+43 (only 2013, 2015 and 2021) , 71, 74, Results covering the units with less than 10 employees has been estimated by industry, using data from units with 10-19 employees., Existing data, is used for the following industries: 01, 02, 35, 37, 38+39 (from 2015),41+42+42 (2017-2020, 2023), and 72, Other statistical sources, : - Account statistics for agriculture - Forestry statistics - Account statistics, non-agricultural industries - Enterprise statistics - Employment statistics - External trade statistics - National account statistics - Sale and purchase, enterprises - Business register - Construction statistics, Read more about sources, method and quality in the documentation of statistics on Environmental Goods and Services, Environmental transfers, The figure shows the public sector’s disbursement of environmental transfers over a period of years. Environmental transfers are a broad term covering subsidies, ongoing transfers, investment aid, and capital transfers aimed at supporting environmentally beneficial activities. These transfers are provided to households, business, NGOs, and foreign countries as development aid., In Statbank Denmark, you can find more data on Environmental transfers (MMS1), More about the figure, Last update, 24.6.2025, Next update, 24.6.2026, Source data, The source material for the statistics is the public finances, as they are stored, after national accounts coding, in the database DIOR (Database for Integrated Public Accounts). Using selected expenses and revenue from DIOR, tables are compiled to cover the three main subject areas of these statistics (see 2.1). For a more detailed description of DIOR, see the statistical documentation for , Government Finance Statistics, ., Read more about sources, method and quality in the documentation of statistics on Public Expenditure and Revenue on the Environment, Environmental protection, The figure shows the public sector’s expenditures on environmental protection divided into various activities. These activities include pollution abatement, wastewater and waste management, as well as the conservation of biodiversity., In Statbank Denmark, you can find more data on Environmental protection (MREG22), More about the figure, Last update, 24.6.2025, Next update, 24.6.2026, Source data, The source material for the statistics is the public finances, as they are stored, after national accounts coding, in the database DIOR (Database for Integrated Public Accounts). Using selected expenses and revenue from DIOR, tables are compiled to cover the three main subject areas of these statistics (see 2.1). For a more detailed description of DIOR, see the statistical documentation for , Government Finance Statistics, ., Read more about sources, method and quality in the documentation of statistics on Public Expenditure and Revenue on the Environment, On the statistics – documentation, sources and method, Gain an overview of the purpose, contents and quality of the statistics. Learn about the data sources of the statistics, the contents of the statistics and how often they are published., See the documentation of statistics to learn more:, Environmental Goods and Services, 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., Read more about sources, method and quality in the documentation of statistics on Environmental Goods and Services, Environmental Protection Expenditures, In general the statistics illustrate the total direct environmental protection expenditures in the covered types of industry. Distinction is made between current expenditures and investments. Current expenditures includes as well internal costs in the enterprises as purchase of services on environmental protection. Results can be further displayed on spending according to environmental purposes: Protection of ambient air and climate, Wastewater management, Waste management, Heat/energy saving and management and Other environmental protection activities , Read more about sources, method and quality in the documentation of statistics on Environmental Protection Expenditures, Public Expenditure and Revenue on the Environment, The statistics Public Expenditure and Revenue on the Environment are part of the green national accounts. The statistics establishes a link between public expenditure and revenue and public environmental protection activities. The statistics are used, inter alia, in relation to political decisions in the environmental field, environmental economic analyses and international comparisons of the various EU countries' environmental efforts. The statics date back to 1995. , Read more about sources, method and quality in the documentation of statistics on Public Expenditure and Revenue on the Environment, Water and Waste Water, The statistics concerning water and waste water estimates the abstraction and use of water as well as discharge of waste water distributed on municipalities., The water account document abstraction of water, use in households and industry groups (as used in the Danish National Accounts) as well as the discharge of waste water via waste water treatment plants to the aquatic environment. The water accounts are based on water and waste water statistics as well as micro-data from the Jupiter database managed by GEUS (Geological Survey of Denmark and Greenland) and reports on point sources from the Danish Environmental Protection Agency., The economic water account document the income in water supply and waste water treatment plants from households and industry groups. The account is based price information from water supply and waste water companies that are member of DANVA, information on individual companies, population, households as well as the physical water account., Read more about sources, method and quality in the documentation of statistics on Water and Waste Water, Need more data on Green economy?, In Statbank Denmark, you can find more detailed figures, for example on the individual types of taxes and the amount of environmental protection expenditures incurred by the industry.   , Go to the StatBank, Contact, Jonas Foged Svendsen, Phone: +45 21 34 73 19, Mail: , jfs@dst.dk

    https://www.dst.dk/en/Statistik/emner/miljoe-og-energi/groent-nationalregnskab/groen-oekonomi

    Subject page

    Disability care

    Introduction, The statistics Disability and marginalized adults, The statistics Disability and marginalized adults contain data on selected services in the Act on Social Services, provided to adults with disabilities or marginalized adults.  The purpose of the statistics is to present the number of services and recipients as well as linking this with information about the recipients’ background and living conditions. There is also information about the recipient's target group, i.e. whether the person receives a service because of physical impairment, cognitive impairment or mental illness. The individual service may be provided based on several different target groups. The statistics have been produced since 2015 and contain data from the 4th quarter of 2013 and onwards., Data are published annually. , The Statistics include the following services in the Act on Social Services. Where no other law is mentioned in the text below, the law referred to is the Act on Social Services.  Please note that the symbol § is used for sections, which is customary in Danish legislation., Activity and social life offers (§ 104) , Treatment (§ 102) , Sheltered employment (§ 103) , Lengthy stay in housing with care and support, §§ 83, 85 (§ 108) , Temporary stay in housing with care and support, §§ 83, 85 (§ 107) , Social pedagogical support in housing facilities similar to such facilities as regulated in § 85, covered by the act Lov om socialtilsyn § 4, stk. 1, nr. 3, for instance, housing facilities in accordance with the §§ 105 and 115 in the act lov om almene boliger m.v. , Social pedagogical support not given in housing facilities similar to such facilities as regulated in § 85, but, for instance, in the person's home , Self-managed personal assistance (§ 96) , Contact person for deaf-blind people (§ 98) , Attendant scheme (§ 97) , Subsidies in cash to hire an assistant, § 83, 84 (§ 95) , Offer of group-based assistance and support (§ 82 a), Offers of individual, temporary socio-pedagogical assistance and support (§ 82 b) , Statistics on disability compensation services for children and young people, The statistics on disability compensation services for children and young people contain information about the municipalities´ grants of selected services for children and young people in accordance with the Danish Act on Social Services Act (SSA). , It is the first time that these statistics are being published, with the aim of following developments and securing data and statistics, in the area of children and young people who receive disability compensatory services. The statistics highlight the number of children and young people, who receive disability compensatory services, as well as the number of services the municipalities have approved. There is information on the age and gender of the recipient of disability compensatory services. The individual child / young person can receive several services at the same time. , The statistics have been developed since 2022 and the publication of the statistics will be on an annual basis., The sections and paragraphs that form the basis of the statistics, deal with measures to children and young people who, due to significant and permanently reduced physical or mental capacity, are in need of help or special support. , The following sections of the Danish Act on Social Services form the basis of the statistics: , Special day care for children (SEL § 32), Home training of children (SEL § 32a), Special club offers for older children and young people (SEL § 36), Personal help and care (SEL § 44 cf. § 83), Supersede or relief of parents or other close relatives (SEL § 44, cf. § 84, subsection 1), Help to maintain physical or mental skills (SEL § 44, cf. § 86, subsection 2), Accompanying arrangement for children and young people between the ages of 12 and 18 who cannot travel alone (SEL § 45)  , 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., Benefit to disability car, Disability services for children and young people, Reusable assistive products, Services to adults with disability and marginalised adults, Social resources, Key figures, In Statbank Denmark, you can find more data on Disability measures for children between 0-17 years (HANDBU04), In Statbank Denmark, you can find more data on Benefit to disability car (HANDBIL1), Related content in Disability care, Tables in Statbank , Scheduled releases , Contact, Handicap og udsatte (voksne), Phone: +45 39 17 31 40, Mail: , handicap@dst.dk

    https://www.dst.dk/en/Statistik/emner/sociale-forhold/social-stoette/handicapomraadet

    Subject page

    Historical projects

    Statistics Denmark has been involved in international cooperation projects since the beginning of the millennium. , Additional information and reports from the projects are available on request. If you are interested in information about a specific historical project please write an email to , internIR@dst.dk, and we will get back you. , Below there is a short description of some of the historical projects. In addition to these, we have been involved in many other projects on a smaller scale. , Armenia, Statistics Denmark implemented an EU-financed Twinning project in Armenia in cooperation with the national statistics institutions of Finland, Italy and Lithuania from August 2015 to August 2017. The beneficiary institution was the National Statistics Service of the Republic of Armenia, Armstat. The aim of the project was to support the upgrade of official statistics of Armenia by introducing new methodologies on statistics closely aligned to European standards and enhancing dissemination of official statistics to the society. , The project focused on six major components: , Dissemination and Quality of Statistics, Demographic Statistics and IT, Labour Market Statistics, Poverty Statistics, Innovation Statistics, Water Accounts , The project was the second EU Twinning project between Armstat and Statistics Denmark. The first project ran from 2011 to 2013., Bosnia-Herzegovina, Bosnia-Herzegovina 2021-2023, Statistics Denmark was implementing an EU-financed Twinning project in Bosnia and Herzegovina in cooperation with the national statistical institutions of Finland, Sweden and Italy. The project ran from March 2021 to March 2023. , The beneficiary institutions were: , Agency for Statistics of Bosnia and Herzegovina, Institute for Statistics of Federation of Bosnia and Herzegovina, Institute for Statistics of Republika Srpska, Central Bank of Bosnia and Herzegovina, Indirect Taxation Authority of Bosnia and Herzegovina., The overall objective of the project is to increase the volume of statistical data in/for BiH and further increase the compliance with EU Acquis, with the specific objective to strengthen the statistical system institutional capacities and to further harmonise statistics in BiH with EU standards by improving business statistics, balance of payments, agriculture and labour market statistics and to improve reporting/statistics on collected indirect taxes. , In general, the project addressed six independent components: , Component 1 - Business Statistics, with four subcomponents, C 1.1 - Statistical Business Register, C 1.2 - Structural Business Statistics, C 1.3.1 - Index of Production in Construction, C 1.3.2 - Index of Services Production, Component 2 - Agricultural Statistics, Component 3 - Administrative Data Sources, Component 4 - Labour Market Statistics, Component 5 - Balance of Payment Statistics – Central Bank, Component 6 - Macroeconomic Analysis Unit of the Governing Board of the Indirect Taxation Authority, You can read more about the project on Facebook: EU Twinning - Further Support to the Reform of Statistics System in BiH , Bosnia-Herzegovina 2018-2020, Statistics Denmark has implemented an EU-financed Twinning project in Bosnia and Herzegovina in cooperation with the national statistical institutions of Croatia, Finland and France. The project ran from January 2018 to April 2020. , The beneficiary institutions were:, Agency for Statistics of Bosnia and Herzegovina, Institute for Statistics of Federation of Bosnia and Herzegovina, Institute for Statistics of Republika Srpska, Central Bank of Bosnia and Herzegovina., The aim of the project was to strengthen the statistical system in Bosnia and Herzegovina and to increase the number of statistics, which is harmonised with EU standards. , The project focused on the following topics: , Component 1: National Accounts, Component 2.1: Statistical Business Register, Component 2.2: Structural Business Statistics, Component 2.3: Service Producer Price Index, Component 2.4: Construction Producer Price Index, Component 2.5: Tourism Statistics, Component 3: Balance of Payment and International Investment Position Statistics, You can read more about the project on Facebook: EUtwinningStatisticsBiH , Georgia, Statistics Denmark implemented an EU-financed Twinning project in Georgia. Our partner was the National Statistics Office of Georgia, Geostat. The implementation happened in cooperation with the national statistical institutes of the Czech Republic, Hungary, Finland and Lithuania. The project ran from April 2019 to July 2021. , The project has four main topics:, External Sector Statistics, National Accounts, Business Statistics, Social Statistics, The aim of the project is to assist Geostat in further improving statistical capacity and contributing to providing timely, internationally comparable and reliable statistical data. , You can also follow the project on Facebook: EUtwinningGeostat. , Egypt, From September 2008 to November 2010 Statistics Denmark and the Central Agency of Public Mobilisation and Statistics (CAPMAS) of Egypt implemented an EU Twinning project. The project was called "Institutional Capacity Building for the Central Agency of Public Mobilization and Statistics; and Developing the Legal Framework for Statistics in Egypt"., We implemented the project in partnership with Statistics Sweden, Statistics Finland, Central Statistical Bureau of Latvia and the Czech Statistical Office. The objective was to support the preparation of statistical policy and legislation and to build up the organizational capacity of CAPMAS to produce, publish and disseminate high quality statistics., The project focused on six major components:, Improvement of statistical legislation, Organisational reform, Increasing statistical awareness, Improved IT-function, Development of certain statistics such as national accounts, external sector statistics and price statistics , Israel, Statistics Denmark and the Israeli Central Bureau of Statistics (ICBS) implemented a two-year EUTwinning project from March 2016 to August 2018. Besides experts from Statistics Denmark, the project was implemented in cooperation with the national statistics institutions in the Netherlands, Poland and the UK., The project is a result of the bilateral ENP Action Plan between the EU and Israel., See the EEAS website for further details on the EU/Israel Action Plan, The project had four major components:, Quality management of official statistics, Micro-data services to researchers, Infrastructures for agricultural statistics, Methodological and geo-spatial tools for improving the quality and efficiency of field surveys, The purpose of the project was for the ICBS to align official statistics with standards, guidelines and best practices from the European Union and from international organizations like the IMF and the OECD., The project was a logical continuation of a previous EU Twinning project between Statistics Denmark and ICBS that ran from May 2013 to December 2014., Jordan, Between November 2013 and April 2015, Statistics Denmark implemented an EU Twinning project with the Department of Statistics of Jordan. We worked on the implementation together with Istat of Italy, the Central Statistics Bureau of Latvia and Northern Ireland Cooperation Overseas. , The topics were:, Ensuring quality control of statistical data through upgrading sampling methodologies, Implementing international and European methods in National Accounts , Quality of statistics , Developing IT systems for online dissemination of statistics, Kosovo, From December 2013 to March 2016, Statistics Denmark implemented an EU Twinning Project with the Kosovo Agency of Statistics. We worked with partners from Statistics Lithuania, Statistics Finland and Ni-Co Northern Ireland., The project had four components:, Quality Systems for Statistics, National Accounts, Business Statistics, Information Technology System, Mozambique, The project between Statistics Denmark, Statistics Norway and Statistics Sweden on one side and Instituto Nacional de Estatística of Mozambique (INE) ran from 2002 to the end of 2017. , Originally, the project was funded by the World Bank to support the newly formed national statistical institute (INE) with its first 5-year master plan, 1998-2002. , Long and short term advisors started helping INE to strengthen already existing systems and support the creation of new ones to build up an efficient system for the production of the statistical information required for planning, monitoring and evaluation of the country's development program. , During the period 2003-2007 an even more extensive project was created where Denmark, Norway and Sweden joined to directly finance both technical assistance and statistical activities. A consortium, Scanstat, was formed by Statistics Denmark (lead), Statistics Norway and Statistics Sweden provided technical assistance. , Since 2008, the financing of the project was made through the state budget by the government of Mozambique and a common fund, where UNFPA (lead), Norway and Sweden were signatories of the Memorandum of Understanding and contributing financially to the fund. Also Denmark, Canada, Italy, the World Bank, FAO and UNICEF were often participating as interested stakeholders in common meetings. , For the period 2013-2017, the contract between Scanstat and INE contained 111 months of long-term technical assistance, one in Institutional Development and one in Economic Statistics. There was also up to 207 weeks of short-term technical assistance covering all aspects of a modern staistical office in a developing country. Some of the activities were executed at other producers of official statistics in Mozambique such as the Ministry of Agriculture and Food Security. , INE has been supported by the Scandinavian countries for a long time and we have been in a prolonged phasing-out phase focusing on sustainability and empowerment of the national Mozambican staff. It is encouraging to see how INE is taking up its role within the African statistical society and now often act as promoter and a good example. , Ukraine, Statistics Denmark implemented an EU-financed Twinning project with the State Statistics Service of Ukraine from December 2013 to December 2015. INSEE France, Statistics Lithuania, Central Statistical Office of Latvia, Central Statistical Office of Poland, Statistics Finland, Statistics Sweden, Statistical Office of the Slovak Republic, INE of Spain and ISTAT Italy were also providing expertise to the project., The objective of the project was to develop Ukraine’s national system of official statistics in order to apply European standards in the area of statistics., The project had 13 components:, National Accounts, Consumer Price Index (CPI) Sample, Quality reports, Producer Price Index (PPI), Structural Business Statistics (SBS), Business Trends Survey, Agriculture Statistics, Foreign Trade Statistics, Statistical Business Register, Sample Surveys Methodology, Capital and Foreign Direct Investment, Household Living Conditions Survey, Effective Communi­cation with Media and Public, Promoting the Activity of the Statistical Office, Web Portal Solutions, Data Collection Process, The project was a follow-up to a previous EU Twinning project running from 2011 to 2013.

    https://www.dst.dk/en/consulting/projects/historical-projects

    Denmark is number 1 in E-government

    A recent UN E-Government survey ranked Denmark the best performing country when it comes to offering digital services to citizens and companies. , 23 November 2022 9:00 ,  , Denmark is one of the leading countries when it comes to E-government. A recent UN E-Government survey ranked Denmark the best performing country when it comes to offering digital services to citizens and companies. Denmark is also doing very well in the , OECD Digital Government Index, . The foundation behind today’s digital success story goes back more than 50 years. And over the years digitalization has massively affected how we perceive and produce statistics. , The journey towards administrative data, Recently Statistics Denmark had three different study visits on the use of administrative data. It gave us a possibility to revisit the story of administrative data in Denmark. Reflecting on the Danish journey it becomes clear that the story is not just one of administrative data but one of digitization of the entire Danish public sector and society. In statistics we usually define administrative data as data collected for other purposes than statistics., In Denmark the use of administrative data is built on the holy trinity of the Central Personal Register (CPR), the Building and Housing Register (BBR) and the Central Business Register (CVR) – all being interlinked using unambiguous identifiers. These identifiers are used consistently at all levels of government and by civil society.,  , Schematic overview of interlinked administrative data sources in Denmark., The 1960’s – building the basic registers, When the Central Personal Register (CPR) was established in 1968, it was not constructed in order for Statistics Denmark to have a short cut to generate basic population statistics on any chosen day. The possibility of having a daily population and housing census was more like an unexpected side benefit., The political driver behind the CPR was tax collection. In order to make businesses responsible for deducting income taxes before handing over the rest of the salary to their employees, the government in general – and the tax authority in particular – needed a unique identifier and the correct address of every Dane. Or rather they needed the address of everyone having permanent residence in Denmark., Due to the fact that both companies and real-estate in Denmark are heavily taxed, the two other registers soon followed. In terms of statistics, these main registers worked – and worked well. In the Danish administrative setup (Ministries, Agencies, Regions and Municipalities), the main identifiers were consistently used to build new administrative systems. Storing administrative information on subjects such as education, social benefits, health records, car ownership, housing and taxes allowed the government to keep exact records of services provided to the population. This stored information greatly eased “day to day” administration. The availability of the unambiguous identifier also ensured that social services can only be provided once. The benefits of having a complete list of citizens, companies and buildings encouraged government authorities to build their administrative systems using these identifiers as they allow the authorities to share information.         , As the registers developed over the years, they allowed Statistics Denmark to produce nearly all social statistics using administrative data sources. This development was highly facilitated by the act on Statistics Denmark from 1966 which required all public administrative units to allow Statistics Denmark to access the raw individual data in their administrative systems., Advanced modelling of policy initiatives, In the 1980’s the Danish Ministry of Finance realized that the statistical registers at Statistics Denmark could be used to model the effects of proposed legislation. In the beginning, a 3% sample of the registers was used to keep the time for processing data to a minimum and thus affordable. Today simulations of proposed legislation or policy initiatives are based on the entire population. The work has been institutionalized under the so called “Legislative Model”. The Legislative Model is placed in a division in the Ministry of Finance and has access to micro data in an anonymized form. The Ministry of Finance has the same kind of access which pertains to authorized research institutions. This means that they can calculate the aggregates but cannot access the individual data. So it is possible for the Ministry of Finance to calculate that e.g. 2,345 people will be affected by a piece of legislation. But they cannot see who these people are. The access to data through Statistics Denmark’s means that the Ministry of Finance has a one-stop-shop for their data needs and do not have to collect data from other administrative units. This use of statistical registers was part of the vision behind the act on Statistics Denmark from 1966 as it also enabled Statistics Denmark to provide data access for modelling and research. ,   , Presentation of the Danish model for simulation of policy initiatives, By Nicolai Steinmetz Møller from the Danish Ministry of Finance., The 2000’s - a new push towards digitalization of the society, In the early 2000’s the Danish Ministry of Finance began to think in terms of digitization in the first instance understood as digital communication and later also as self-service. The journey can best be described as starting in 2001 when it was decided that citizens and companies could send e-mails to the public sector and they could communicate digitally. So starting that year civil servants had to read emails and interact electronically if the users wanted to. The push in the early 2000’s was initiated by the internet, which made electronic mail readily available as an easy way of communication. The computing power on the big expensive main frame computers was suddenly replaced by the personal computers bringing computers to the public.,  , Director Rikke Zeberg from the Confederation of Danish Industry briefs the Ghanaian delegation on Denmark’s Digital Journey. Rikke Zeberg was the first director of the Agency of Digital Government under the Ministry of Finance making her one of the main architects of Denmark’s Digital Journey.    , The 2010’s - Companies must now both read and answer their e-mails, In 2011, the decision on electronic communication was reversed and companies and citizens alike were required to communicate with the government by email and the use of relevant self-services. In retrospect, the postal service in Denmark has always been considered so reliable that if a public authority mailed a letter, then people were considered as having been notified. , Now suddenly citizens did not have to look for letters from Statistics Denmark or the tax authority in their mailbox, but instead pay attention to and act upon mail delivered to a personal electronic mail box provided by the government. All interaction between companies and the government is now channeled through a one-stop-portal called virk.dk. Citizens can interact with the government and access all their information through a similar portal called borger.dk (citizens.dk. , The need for a digital signature and authentication, The physical mailbox next to the front door is considered to be secure when the postman drops a letter in it. However digital communication have more complex security issues. Access needs to be controlled and the identity of the recipient has to be verified. Strangely enough physical mail can be picked up and read by your partner from the mail box, but electronic mail must only be accessible to you - at least from the point of view of the government agency or the private company sending the mail. To solve this problem a digital identity and authentication is needed., As the CPR holds a complete list of all Danish citizens and people currently living in Denmark the register can be used as the foundation of a digital ID. The digital identity allows citizens and companies to interact electronically with each other and to legally sign documents. , The interesting thing about the digital identity, now in its third major edition, is that the solution behind the “identity” is a public private partnership owned by the government, regions, municipalities and banks. The public private partnership ensures that a common identity is used by both government and companies alike and that the service is competitively procured., The need for self-registration, The overarching question from all our visitors was: How do you make sure that people actually self-register and update their registrations in the Central personal Register? There are a multitude of answers: , First , of all people in general have a very high trust in the system, and , secondly, it is very difficult to live in Denmark if you do not keep you records updated, because our society is so data driven today. The , third, reason for keeping digital records updated is that both citizens and business can be fined if they do not keep their records updated., The Ghanaian delegation is briefed on digitalization at Health Care Demark in Odense, Through the Strategic Sector cooperation, The exchange visits on administrative data was organized under the Strategic Sector Cooperation initiative financed by the Danish Foreign Ministry and Statistics Denmark hosted delegations from Brazil, Morocco and Ghana. The exchange visits involved Digital Hub Denmark and Healthcare Denmark. Both are public private partnerships created to promote Danish experiences in digitalization in general and in healthcare and life science respectively to the rest of the world., Former Mister of Education and Research Morten Østergaard talks at the Digital Hub Denmark on how digitalization can support the green transition, .  , As part of our work on administrative data we have developed a guide addressing some of typical “How to get started” questions. Get in touch with us if you want to learned more on how we see statistics through the lenses of admin data and digitalization., You can visit the two hubs online: , Digital Hub Denmark,   , and , Health Care Denmark, . If you get in touch with them they are more than happy to tell you about Denmark’s digital journey. ,  , [KMH1]

    https://www.dst.dk/en/consulting/news-from-international-consulting/2022/23-11-2022-Denmark-is-number-1-in-E-government

    Historical national accounts

    Tables of Historical National Accounts comprise two different types of National Accounts figures. Backcast figures which are consistent with the latest compilations, and obsolete published figures, which shed light on the available National Accounts figures for the observers, of bygone periods, of their contemporaneous economy. , Introduction, The most important descriptive tool of the macroeconomy of, say, Denmark is the current compilations of the National Accounts, henceforth abreviated as Statistics Denmarks current National Accounts., This page covers two different meanings of ”Historical National Accounts”:, backcast National Accounts figures, which are consistent the figures of the current National Accounts, but covers previous periods, and, obsolete published figures of the National Accounts, meaning figures which, for different reasons, partly or wholly are not consistent with the current National Accounts from Statistics Denmark., Why are both interesting?, Backcast National Accounts figures are interesting because, they extend the consistent description of the Danish economy backwards in Time, further than the current National Accounts figures go. These extended figures help us see the business cycles (the aggregate motion of the economy) over the longer term., Obsolete published figures of the National Accounts are interesting for those who would like to understand how observers were able to view the economy of their own times, e.g. from the 1950’ies and 1960’ies, of the 1940’ies and 1950’ies., What is the difference?, Very briefly differences are accounted for by three factors: compilation manuals, the division of labour in the organization of the World’s production, and the coverage of available statistics., From the first modern sets of National Accounts figures emerged in the 1930’ies and 1940’ies much research has been conducted and conceptual refinement has found their way into the international compilation manuals from organizations, like United Nations (UN) and the OECD. These changes of the basic manuals, changes in the organization and distribution of productive activities across national boundaries (e.g. the increasing globalisation of production) has changed details of even fundamental concepts like Gross Domestic Product (GDP; in Danish: bruttonationalproduktet, BNP)., Economic-political data requirements for a more precise description of the Danish economy’s structures and dynamics increased historically the means with which to provide important improvements in the systematic statistical coverage of areas such as business statistics and labour market statistics., These three factors combined changes the requirements of and the ability to provide a more precise description of the economy. For this reason the published figures of different compilation regimes, of overlapping years, are usually different even for the exact same years., To gather what is similar, and separate what is different, we har introduced the somewhat technical term ”National Accounts compilation regimes”, here anre elsewhere abreviated ”NA-regimes”, or ”compilation regimes”., Previously published figures and descriptions from the Danish National Accounts have revealed 19 different NA-regimes, from the first was published in December 1945, until the lastest, the current, which started in 2016., Introduction to key the concepts Gross Domestic Product (GDP; in Danish: bruttonationalprodukt, BNP), Gross National Income (GNI; in Danish: bruttonationalindkomst, BNI) and Gross Domestic  Product in factor prices (in Danish: bruttofaktorindkomst, BFI) may be found elsewhere on pages concerning the Danish National Accounts., Documentation, Published figures of the Danish National Accounts are divided into 19 separate, official compilation regimes:, Name of compilation regimes, Main release vehicle (-s), in Danish, NR1945, Statistiske Efterretninger 1945:52, d. 14. december, Statistiske Meddelelser 4/129/5, 1948, NR1948, Statistiske Efterretninger 1948:25, d. 11. juni, NR1951, Statistiske Meddelelser 4/140/2, 1951, NR1955, Statistiske Meddelelser 4/160/2, 1955, NR1960, Statistisk oversigt 1948-1959, udgivet 1960, samt Statistisk årbog 1960, udgivet 1961, NR1962, Statistiske Undersøgelser 7, 1962, NR1965, Statistiske Efterretninger 1965:59, d. 15. dec., NR1972, Statistiske Efterretninger 1972:79, d. 20. dec., NR1978, Statistiske Efterretninger 1978:A20, d. 29. august,, Statistiske undersøgelser nr.30 og 31, 1973, NR1981, Statistiske Efterretninger 1981:A30, d. 22. september, ”National­regnskabsstatistik 1966-1981”, udgivet 1983, NR1984, Statistiske Efterretninger 1984:18, d. 23. december, ”National­regnskabsstatistik 1983”, udgivet 1985, NR1995, Statistiske Efterretninger 1995:12, d. 19. juni, ”National­regnskabsstatistik 1994”, udgivet 1996, NR1997, Statistiske Undersøgelser 46, 1997, NR2000, Statistiske Efterretninger 2000:03, d. 13. april, ”National­regnskabsstatistik 1999, Aprilversion”, udgivet juni 2000,, ”Nationalregnskab ENS95. Makroøkonomiske tidsrækker 1966-1997”, udgivet 2001., NR2005, Statistiske Efterretninger 2005:08, d. 26. juli”, ”National­regnskabsstatistik 2003”, udgivet september 2005, NR2009, Statistiske Efterretninger 2009:15, d. 09. nov., ”National­regnskab 2008”, udgivet januar 2010, NR2011, Statistiske Efterretninger 2011:11, d. 15. september, ”National­regnskab 2010”, udgivet februar 2012, NR2014, ”Nationalregnskab og offentlige finanser, ESA 2010, Hovedrevision 2014”, udgivet september 2014, Statistiske Efterretninger 2014:13, d. 22. december, NR2016, , det aktuelle, Statistiske Efterretninger 2016:11, d. 15. nov., In addition there is a half-official compilation regime:, Name of compilation regimes, Main release vehicle (-s), in Danish, BU1958, Kjeld Bjerke og Niels Ussing: , Studier over Danmarks nationalprodukt 1870-1950, , Kbh., 1958. Udsendt af Statistisk Departement sammen med Københavns Universitet, Økonomisk Institut., and some unofficial compilation regimes:, Name of compilation regimes, Main release vehicle (-s), in Danish, SH1983, Svend Aage Hansen: , Økonomisk vækst, , bind II, Akademisk forlag, Kbh., 3.udg., 1983. Publikation nummer 6 fra Københavns Universitet, Institut for Økonomisk Historie., En meget anvendt kilde, med talrækker til 1818. Kan betragtes som en tilbageføring af NR1962, med en videreføring ved NR1965 og NR1972., SL2010, Larsen, Hans Kryger; Søren Larsen og Carl-Axel Nilsson: ”Landbrug og industri i Danmark 1896 -1965. Nye beregninger af bfi inden for de varefremstillende sektorer”, , Historisk Tidsskrift, , bind 110, nr.2, 2010. Siderne 358-401.  , Her anvendes alene tallene for 1947-1965, der skyldes Søren Larsen. En tidligere version af disse tal for 1947-1965 har været indarbejdet i visse af den økonomiske model ADAMs databanker, som tilbageføring af NR1984., Five main publications of obsolete sets of National Accounts figures, in addition to access to the figures of their tables: , Bjerke, Kjeld, og Niels Ussing: , Studier over Danmarks nationalprodukt 1870-1950, , Statistisk Departement og Københavns Universitets Økonomiske Institut, G.E.C Gads forlag, 1958. Due to unresolved intellectual property rights we are presently unable to provide this as a pdf-document., Statistisk Departement: , Nationalproduktet og Nationalindkomsten 1930-1946, , Statistiske Meddelelser 4. række, 129. bind, 5. hæfte, 1948., Statistisk Departement: , Nationalproduktet og Nationalindkomsten 1946-1949, , Statistiske Meddelelser 4. række, 140. bind, 2. hæfte, 1951., Statistisk Departement: , Nationalindkomsten 1938 og 1947-54, , Statistiske Meddelelser 4. række, 160. bind, 2. hæfte, 1955., Statistisk Departement: , Nationalregnskabsstatistik 1947-60, , Statistiske Undersøgelser nr.7, 1962., Zip-files with table contents as MS-Excel-spreadsheets, Tabelindhold - Studier over Danmarks nationalprodukt 1870-1950 (zip), Tabelindhold - Nationalproduktet og Nationalindkomsten 1930-1946 (zip), Tabelindhold - Nationalproduktet og Nationalindkomsten 1946-1949 (zip), Tabelindhold - Nationalindkomsten 1938 og 1947-54 (zip), Tabelindhold - Nationalregnskabsstatistik 1947-60 (zip),  , Key figures,   , Related content in Historical national accounts, Tables in Statbank , Scheduled releases , Contact, Michael Osterwald-Lenum, Phone: +45 20 57 01 29, Mail: , mol@dst.dk

    https://www.dst.dk/en/Statistik/emner/oekonomi/nationalregnskab/historisk-nationalregnskab

    Subject page

    How we carry out services

    The price of a service depends solely on the number of hours spent on the service. As a customer, you can reduce the time spent in the initial phase – and consequently the price – by making yourself acquainted with how we proceed with commissioned services. We have made a bulleted summary below describing a typical procedure for a customised service. We will be happy to help you through all phases of a service, so do not hesitate to contact us if you have any questions. It is useful to get acquainted with our registers and variables by looking into , www.statbank.dk, . , It is also a good idea to inform Statistics Denmark about your expectations to price and time frame, so that we can align our expectations from the start as to what is feasible. ,  , 1. WHAT WE CAN PROVIDE, NO MICRO DATA, Statistics Denmark is not allowed to provide individual pieces of information about persons, families, households or enterprises. For this reason, services will usually be provided as a table or set of summarised data. , REGISTERS, Statistics Denmark can combine data from many different registers by correlating data from CPR about persons, CVR about enterprises or BBR about properties. , STATISTICAL DATA PERIOD, If you want to correlate several statistical registers, different statistical data periods may cause that some persons/enterprises in one register cannot be matched with the content of another register. , STATISTICAL METHODS, Different statistical methods may also imply that a few persons/enterprises included in one register may not be included in another register. The income statistics, for example, are delimited to include taxpayers. Accordingly, if a person is not a taxpayer, this person is not registered in these statistics. The same person may easily be found in other registers, e.g. in the educational register. , QUALITY, Statistics Denmark makes a point of providing tables and data of a quality that we can vouch for. For this reason, Statistics Denmark may decline to provide a service, if we consider that the data quality, dropout or data construction does not provide a sufficiently well-founded assessment of reality. ,  , 2. CLARIFICATION PHASE, SUBMIT REQUEST , If you want to receive a quotation from us for delivery of statistics, click the link below and fill in the form. This allows us to find the right consultant for the further process:, Request a quotation, If you want to order an update of previously delivered services, click the link below and fill in this form:, Request update of a former delivery, The completed form will help clarify questions such as:, Do we have the requested data?, Can we delimit data in the way that you request?, Are there any matching problems between registers?, Do special circumstances exist concerning data, which may involve constraints?, Do we need to take measures regarding statistical disclosure control to eliminate the risk of disclosing information on a single individual statistical unit?, When the statistics were last updated?, By when do you need the data?,  , 3. DELIMITATION OF POPULATION, TOTAL POPULATION , The total population will often be a population that is comparable with published, free-of-charge figures at , www.statbank.dk, , such as the population of a municipality. , DELIMITED POPULATION, Based on selected variables in the register, we determine how we are going to delimit the population. This could be e.g. persons aged 16-29 in employment. , YOUR OWN POPULATION, We can delimit the population on the basis of civil registration numbers (CPR), central business register numbers (CVR) or addresses that you have provided us with, which we can then match with the requested registers. Note that you are not allowed to provide us with your own population without prior agreement, since data must be encrypted when submitted and we must make a data processor agreement. , COMPARABILITY WITH PUBLISHED STATISTICS, When we provide services, to the extent possible, we check data against other published sets of statistics and document to which of Statbank Denmark’s sets of statistics you can make comparisons. If we are unable to compare or check data against the published statistics, e.g. if extraction is made from your own population, this is noted in the documentation. ,  , 4. VARIABLES, TIDSSERIER , At , www.statbank.dk, you will be able to find tables displaying the most widely used variables in our many registers. Please note that many registers/variables are not comparable over time. This is because changes may occur in the sets of values for various variables (e.g. in groupings from e.g. ages 0-5 and 6-10 to ages 0-4 and 5-9), or there may be changes in the method of assessment for the statistics, e.g. changes in the definitions of certain variables. If changes have occurred in Statbank Denmark tables that make it difficult to compare data over time, two tables will be displayed, each with their separate time series, instead of one table. , STANDARD GROUPINGS , It is possible to do both: use standard grouping of variable values and make your own groupings. You can find help for standard groupings by looking at the different nomenclatures here: , https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer, TABLE SIZES , Consider whether you want one table crossing all variables, or whether you could use several small tables. If you want one big table crossing many variables, it may be necessary to apply statistical disclosure control, which often makes the requested service more costly and data less useful. ,  , 5. PRICE AND QUOTATION, THE QUOTATION, When the requested service has been clarified, we prepare a quotation, which is usually open for a month. It is no problem for us to change the quotation during the process, but we do make reservations with respect to increasing the price if we need to spend time adjusting the quotation., TIME-RELATED CHARGE, We calculate the price of a service based on the total time spent on the service., The time spent consists in e.g.:, Clarifying the scope of the requested service, as we need to close the gap between your ideas and the data , Preparing a quotation and contract, if relevant, and/or data processor agreement , Programming, including linking between registers, applying statistical disclosure control as well as test and validation of data. , Setting up tables in Excel and preparing documentation ,  , The hourly rate for services is , DKK 1,476 excl. VAT (DKK 1,845 incl. VAT), . , You can read more about the basis of the calculation of the hourly rates for services under prices and pricing policy. , BUDGET FOR THE SERVICE, We are very interested in hearing your expectations to price and, if relevant, the budget that you anticipate, as early in the process as possible, as this can help us optimise the time we spend. , INITIAL SURVEY, If we estimate that it will take more than one hour to clarify the requested service (including table definition and price calculations), we offer to make an initial survey. A preliminary survey can ensure that you do not place an order for a major service project, which later proves to be useless. Before we agree on an initial survey, we are typically able to make a not binding estimate of how much the final service is going to cost. , FRAMEWORK AGREEMENT, If a service is difficult to estimate in terms of time or to define, we offer to create a framework agreement. In case of a framework agreement, we agree on a framework for a certain number of hours, but you only pay for the time we actually spend performing the service. A framework agreement provides more room in the process for clarification and changes of definitions, but we cannot guarantee how much we can accomplish within the agreed number of hours. , FIXED-PRICE CONTRACT, If a service is well-defined, we can make a fixed-price contract, in which we agree on a price as well as which aggregated tables we provide at the given price. ,  , 6. DATA SECURITY AND CONFIDENTIALITY, We greatly emphasize the protection of personal data as well as data on enterprises. For this reason, we do not provide statistics involving a risk that individuals or individual households or enterprises can be identified. For further information about this, read our Data confidentiality policy., Statistics Denmark reserves the right to apply statistical disclosure control to datasets to the extent deemed necessary., WHEN DO WE APPLY STATISTICAL DISCLOSURE CONTROL?, We must apply statistical disclosure control if:, the tables are highly detailed and it is possible to identify individuals or enterprises, you want to break down on variables included in your submitted datasets, which have been used to delimit the population (e.g. types of customers). In this case, we typically require a minimum of 30 or 50 units in each cell, HOW DO WE APPLY STATISTICAL DISCLOSURE CONTROL?, There are several methods of statistical disclosure control and it is agreed in collaboration with the customer which method we use. We typically select one the following options:, Automatic aggregation of categories of variables to an aggregate category named “statistical disclosure control” until the statistical disclosure control requirement has been met., Manual aggregation of categories of variables until the statistical disclosure control requirement has been met. This solution is somewhat more time-consuming and consequently involves higher costs., The value in the cell is set for “statistical disclosure control” if the number of observations is too low. With this solution, all categories of variables are maintained, but you can no longer use the sums in the table.,  , 7. COMMISION, You commission a service when you accept the quotation from Statistics Denmark in writing. , CONTRACT FOR SERVICES , Statistics Denmark prepares a contract for all services above DKK 25,000 excl. VAT or services on special terms. ,  , 8. CREATION OF DATA AND DOCUMENTATION, In principle, we create data based on the definitions we have established together. In practice, questions will emerge along the way, to which we will find a solution together. This means that it is necessary that you are available and able to respond to any clarifying questions within reasonable time while we work on the service. , DOCUMENTATION , We deliver the service to you along with documentation describing the registers, variables, population, any data breaks and how we have carried out the actual service. , Documentation of variables is available at , www.dst.dk/dokumentation, Documentation of registers is available at , www.dst.dk/varedeklarationer,  , 9. DELIVERY AND PAYMENT, We endeavour to execute minor services within 1-3 weeks. For major service projects, the delivery time varies. The delivery time depends on the number of services that we are contractually committed to complete, and the scope of the service. Especially during the holiday season or in periods where new data is released, the delivery time may be long. , FORMATS, We usually deliver the tables in Excel, but also offer to deliver in other formats., Large tables can be delivered as Excel pivot tables or in PC-Axis. In this way, you can extract parts of the table and analyse a subset of data. Large tables are typically unsuitable as frozen tables in Excel. Delivery of data in PC-Axis format is more costly., We can deliver summarised data as e.g. SAS, SPSS, semicolon separated file or other flat file., INVOICING, When we have delivered the service, we will invoice you. The time for payment is 30 days. We reserve the right to sub-invoice services stretching over a long period of time., SUBSEQUENT ADVISORY SERVICES, Within the first month after delivery, we offer up to 15 minutes of advisory services/help to understand and interpret data. For major services, we incorporate subsequent consulting services in the contract., We offer further consulting by special arrangement and settled by separate payment at the current hourly rate. We will notify you when the included time has been spent., ERRORS IN THE DELIVERY, If within 30 days, you or we become aware of errors in the registers, or if we have made a programming error in the service provided, we deliver new data as soon as possible., We are very interested in knowing about errors, small or large, or any inexpediencies in the statistics, so that we can check and, if relevant, correct the content in customised services as well as in the registers. It is only rarely possible for us to immediately correct errors in the underlying registers, but we do anything we can for it to happen as soon as possible.,  , 10. GENERAL TERMS FOR SERVICES, You will find the general terms for services here: , General terms and conditions of agreements, If you want to e.g. pass on the customised set of statistics to a third party, or publish data directly on a website in raw form, this must be incorporated in the contract. , 11. SUBMISSION OF DATA, If the service requires that you submit personal data to us, you must enter into a data processor agreement with us before you submit data., For security reasons, you are not allowed to submit personal data via regular email. You must use one the following options:, If your organisation has secure, encrypted FTP access, you may use this to submit data to consulting@dst.dk for the attention of your contact in DST Consulting stated in the email., If your organisation has tunnel access, you may use this to send an email with attached information directly to your contact person in DST Consulting., You can download a safety certificate from the website and submit data via encrypted email based on the contact person that is created. Then you can submit data via email to consulting@dst.dk for the attention of the customer’s contact person in DST Consulting., You can email the contact person in DST Consulting and submit data by attaching it as a password protected zip file, provided that you transmit the password via another channel – e.g. via text message or telephone,  , 12. DATA STORAGE, STORAGE OF SUBMITTED DATA, To facilitate subsequent consulting services, we generally store personal data for three years after delivery of the service. If you want us to store data for a longer period, this must be indicated in the data processor agreement. You can find further information about this under , data processing, . , STORAGE OF CUSTOMER INFORMATION, For accounting reasons, Statistics Denmark stores contact information you have provided for you and your enterprise/organisation. Further information about the processing and storage is available in our , Privacy policy for the handling of personal data at DST Consulting, . ,  

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