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Documentation of statistics: Environmental Multiplier Tables

Contact info, National Accounts, Climate and Environment, Economic Statistics , Peter Rørmose Jensen , +45 40 13 51 26 , PRJ@dst.dk , Get documentation of statistics as pdf, Environmental Multiplier Tables 2023 , Previous versions, Environmental Multiplier Tables 2022, Environmental Multiplier Tables 2021, Environmental Multiplier Tables 2020, Environmental Multiplier Tables 2019, Environmental Multiplier Tables 2018, Environmental Multiplier Tables 2017, Dissemination of environmental multipliers is a service for users interested in the interaction between the environment and the economy. The multipliers connect environmental statistics with national accounts statistics at a detailed level and provides a picture of the effects that changes in economic final demand have on selected environmental variables. The environmental multipliers are aggregated measures of the total environmental effect on industries of specific changes in final demand in terms of waste generation, water consumption, generation of waste, CO2 emissions or other impacts., Statistical presentation, The environmental multiplier tables are organized in the following way. Firstly, they contain a reproduction of certain environmental data, which are also found in the Green National Accounts. Secondly, they contain an estimate of some direct effects calculated as the relative share between the same environmental data by industry and and central national accounts variables, typically total output by industry. Finally, the tables contain direct effects (in one industry) and indirect effects (all involved industries) of various types of final demand calculated with an input-output model., Read more about statistical presentation, Statistical processing, This statistics is based on two already published sources, namely the green national accounts and input-output tables. Thus, data was not collected specifically for this statistic. Certain parts of the two sources are reproduced in the tables, but the primary contribution lie in the use of an input-output model that contains both physical environmental data and economic national accounts data in the form of input-output tables. This hybrid model is used in various configurations to calculate so-called indirect (multiplier) effects., Read more about statistical processing, Relevance, Users are, in principle, all who are interested in the extent to which different types of demand (consumption, investment, exports) have an impact on the environment (e.g. CO2 emissions, water consumption or waste) and in which industries the direct effect appears and which derived effects appears other industries. The tables thus link environmental issues with aspects of economic development and should therefore be of interest to users working with integrated planning of economic and environmental development., Read more about relevance, Accuracy and reliability, The multipliers are the result of model calculations, which are based on national accounting statistics and input-output tables. In each section, polls and adjustments are made under assumptions, which together mean that the calculation process builds some uncertainty about the figures. At the most detailed level, therefore, one can not necessarily expect the results to be accurate representations of reality. Conclusions from the tables should be drawn with some caution, taking account of the uncertainties that may arise in the various stages of the process., Read more about accuracy and reliability, Timeliness and punctuality, The tables have so far been published punctually in relation to the pre-announced release date. The multiplier tables, based on the energy accounts, are published for the first time approx. 6 months after the end of the reference year, while the emission multipliers are published in the first version approx. 10 months after the end of the reference year. Final figures are published at the same time as the national accounts become final, approx. 36 months after the end of the reference year., Read more about timeliness and punctuality, Comparability, The statistics are fully comparable over time. The two source statistics are both consistent over time. Multipliers are calculated at constant prices, which is necessary to get a correct impression of the development in an economic time series. This is not statutory statistics, but to the extent that other countries have produced a similar statistic, the results should be fully comparable, as it is known as internationally known source data and calculation methods., Read more about comparability, Accessibility and clarity, Data is only disseminated in the StatBank under , Green National Accounts, , and statistics are not reported to international bodies. There are so far no publications related to it., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/environmental-multiplier-tables

Documentation of statistics

Documentation of statistics: Drug Abuse Treatment

Contact info, Personal Finances and Welfare, Social Statistics , Benedikte Beckman Nygaard , +45 21 19 10 53 , bbn@dst.dk , Get documentation of statistics as pdf, Drug Abuse Treatment 2024 , Previous versions, Drug Abuse Treatment 2023, Drug Abuse Treatment 2022, Drug Abuse Treatment 2021, Drug Abuse Treatment 2020, Drug Abuse Treatment 2019, Drug Abuse Treatment 2018, Drug Abuse Treatment 2017, Drug Abuse Treatment 2016, The purpose of the statistics is to shed light on drug abuse treatment in Denmark provided by municipalities to citizens under Section 101 of the Social Services Act, Section 142 of the Health Act, and Section 33 of the Child Act. The statistics are used, among other things, to account for the number of citizens in drug abuse treatment, the number and types of drug abuse treatments, and to monitor adherence to the 14-day treatment guarantee from request to initiation of treatment. The statistics have been published since 2015 and are comparable throughout the period, but significant improvements in data quality have been made continuously. In this release, all municipalities have approved their reports for 2021-2024., Statistical presentation, These statistics are a annual measurement of the municipalities' drug abuse treatments activities initiated by the municipalities calculated in terms of number of activities (request, initiation, ended treatment courses), courses and persons. These statistics are grouped by municipalities, sex and age groups., Read more about statistical presentation, Statistical processing, Data for these statistics are continuously collected municipalities directly to SMDB or automatically through system-to-system solutions via the municipality's administrative IT-system., Data are validated extensively by asking the responsible municipality to check their reported data online for validation and approval. Hereafter, we initiate validation processes that e.g. remove persons with invalid social security numbers or who have ended their treatment because they died., Read more about statistical processing, Relevance, The statistics are relevant to anyone with an interest in the field of drug abuse, including researchers, municipalities, drug abuse treatment providers, regions, ministries, as well as interest organizations. The statistics provide concrete knowledge about publicly referred and paid drug abuse treatment in Denmark and contribute more generally to an understanding of the drug abuse field. The data foundation is used for research purposes and internationally within the EU framework, but also in policy contexts by, for example, the Ministry of Social Affairs and the Ministry of Health and Interior to formulate new policies in the field of drug abuse., Read more about relevance, Accuracy and reliability, The overall precision of the statistics is under continuous improvement. In 2021-2024 full coverage has been achieved for all municipalities (i.e. all 98 municipalities have approved their data). , There may generally be some uncertainty due to varying registration practices in municipalities., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are normally published six moths after the end of the reference period. , Read more about timeliness and punctuality, Comparability, The statistics are compiled in the current, comparable form for 2015-2024. There are no European guidelines for statistics on social drug abuse treatment. There are European comparable statistics where data for Denmark are provided by the Danish Health and Medicines Authority. , When comparing these statistiscs across boaders, it should be taken into account that differences in registration practices and structural differences between countries may affect comparability. In the international context, the Health Data Agency and the Health Authority are responsible for reporting to , EUDA, , so inquiries about international comparability can advantageously be directed to them., When comparing over time, it should be noted that there are differences in registration practices among municipalities, and certain questions may be interpreted differently depending on the case worker completing the forms. Furthermore, changes in reporting requirements over time and the transfer of substance abuse treatment to different authorities may affect comparability. As of January 1, 2024, the Enrollment, Services, and Discharge forms became voluntary to report, and as of January 1, 2025, they will no longer be possible to report. Therefore, the register SMDB_IBIB has been closed., Read more about comparability, Accessibility and clarity, These statistics are published yearly 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 , Drug abuse treatment, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/drug-abuse-treatment

Documentation of statistics

Documentation of statistics: Personal assets and Liabilities

Contact info, Labour Market, Social Statistics , Jarl Christian Quitzau , +45 23 42 35 03 , JAQ@dst.dk , Get documentation of statistics as pdf, Personal assets and Liabilities 2024 , Previous versions, Personal assets and Liabilities 2023, Personal assets and Liabilities 2022, Personal assets and Liabilities 2021, Personal assets and Liabilities 2020, Personal assets and Liabilities 2019, Personal assets and Liabilities 2018, Personal assets and Liabilities 2017, Assets and Liabilities 2016, Assets and Liabilities 2015, Assets and Liabilities 2014, Documents associated with the documentation, Værdiansættelse af unoterede aktier og fordeling på personer i 2022 (pdf) (in Danish only), Estimering af aldersopsparing (pdf) (in Danish only), New data on individual pension wealth growth (pdf), Fordeling af unoterede aktier 2023 (pdf) (in Danish only), Beskrivelse af formueloftet 2023 (pdf) (in Danish only), Effekt af overgang til midlertidigt datagrundlag om ejendomme fra 2023 (pdf) (in Danish only), The purpose of the Wealth and Debt statistics is to provide insights into the wealth and debt of individuals, families, and various population groups. The statistics were first created in the aftermath of the financial crisis in collaboration with Danmarks Nationalbank (the Danish Central Bank) and were intended, among other things, to analyze families' resilience to economic shocks. Additionally, the statistics are used in analyses of the pension system and to measure economic inequality. The statistics have been produced since 2014., Statistical presentation, The statistics produces annual data on the value of value of real estate, cars, financial assets, pension wealth and debts. There are also separate and more detailed publications on pension wealth. The statistics are register based and are based on data at the individual level. It is linked to other registers in order to do subdivisions on age, gender, municipality etc., Read more about statistical presentation, Statistical processing, Data is collected from multiple sources and undergoes statistical processing, including debt classification and market value assumptions for assets such as homes, cars, and unlisted shares. Registers are compiled using anonymized identifiers. In pension statistics, bonuses and reserves are allocated proportionally to pension funds, and anonymized contract numbers enable time-series analysis, except in cases of mergers and acquisitions., Read more about statistical processing, Relevance, These statistics are relevant for researchers, ministries, Economic think tanks, pension funds and the media. It is used for forecasts on the pension system and, analyses on the level of wealth in different strata, the level of prosperity and the level of economic inequality. The statistical data and results are also used in other statistical areas within Statistics Denmark, e.g. in national accounting and as a supplement to the income statistics. Data on pension wealth are also used for the macro economic Model ADAM., Read more about relevance, Accuracy and reliability, The quality of the financial data is high since most of the data is validated by the tax authorities. There is much larger uncertainty on the imputed market value of owned property, cars, unquoted stocks and the value of lifetime pensions. Data on assets that can not be linked to persons is not included. Data Wealth held abroad by Danes is likely lacking as well. For discretionary reasons the register is top-coded with a maximum wealth of DKK 1.93 bio. , Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published approximately 12 months after the end of the reference year. Publications are released on time without delays, as stated in the release calendar. , Read more about timeliness and punctuality, Comparability, These statistics have been compiled since 2014. Albeit unlisted stocks and defaulted public debt is only available from 2020. These statistics are compiled according to common European guidelines, but are unique as the only complete register based statistics with almost full coverage on wealth and liabilities. Use caution if doing international comparisons., Read more about comparability, Accessibility and clarity, These statistics are published yearly 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 , Wealth and liabilities, and , Pension assets, . For further information, go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/personal-assets-and-liabilities

Documentation of statistics

Documentation of statistics: Notifications of concern for children and young people

Contact info, Personal Finances and Welfare, Social Statistics , Marko Malic , +45 51 70 56 95 , MMC@dst.dk , Get documentation of statistics as pdf, Notifications of concern for children and young people 2024 , Previous versions, Notifications of concern for children and young people 2023, Notifications of concern for children and young people 2022, Notifications of concern for children and young people 2021, Notifications of concern for children and young people 2020, Notifications of concern for children and young people 2019, Notifications of concern for children and young people 2018, Notifications of concern for children and young people 2017, Notifications of concern for children and young people 2016, Notifications of concern for children and young people 2015, The purpose of the statistics is to shed light on notifications concerning children and young people received by municipalities in Denmark. The data are used for purposes such as policy development and legislation, public debate and research in the field., The statistics were first compiled by the Danish Social Appeals Board (Ankestyrelsen) in 2015 and have been part of Statistics Denmark’s publications since 2016., Statistical presentation, The statistics provide an annual overview of notifications concerning children and young people under the age of 18., The data include information on the number, age, and gender, date of the notification, the notifier’s relation to the child, reason for the notification, and the administrative municipality., The statistics are published in the StatBank and in the Nyt from Statistics Denmark series., Read more about statistical presentation, Statistical processing, Municipalities report information on child welfare notifications to Statistics Denmark. This is done either automatically through system-to-system solutions or manually via a web-based reporting tool., Once a reporting year has ended, each municipality receives a summary of the data submitted. In cooperation with Statistics Denmark, any errors or missing information are corrected. The municipality then confirms that the data accurately reflect the number of notifications for the year. This process is called data validation., Read more about statistical processing, Relevance, The statistics are relevant to researchers, journalists, public authorities – including ministries and municipalities – and others who seek knowledge about the conditions of vulnerable children and young people., Read more about relevance, Accuracy and reliability, Non-response and measurement errors introduce only minimal bias., The figures are approved by the municipalities, and the overall level of uncertainty is considered low., Data in the StatBank Denmark are republished with updates going back up to two years. These updates mainly consist of minor corrections due to non-response and measurement errors, and do not affect the overall picture., Read more about accuracy and reliability, Timeliness and punctuality, The final statistics are published no later than nine months after the end of the reference period. The statistics are generally published on schedule, without delays. For the reporting years 2021–2024, publication followed the planned timeline. A delay occurred for the 2020 reporting year due to data delivery issues, but these were resolved before the subsequent release., Read more about timeliness and punctuality, Comparability, The statistics have been compiled since 2015 and are comparable over time, taking into account the revision in 2017 and the addition of new categories in 2022 and 2024. The annual count makes the data directly comparable, unlike other statistics from Statistics Denmark on vulnerable children and young people (such as placements and support measures), which are status-based. There is some potential for international comparison, particularly with statistics from Sweden and Norway., The statistics are partially internationally comparable, for example with equivalent statistics from Sweden, Norway, and – to some extent – Finland., Read more about comparability, Accessibility and clarity, The statistics are published in , Nyt fra Danmarks Statistik, . Data is available in the StatBank under the topic , Disadvantaged children and youth, . For more information, visit the , topic page of the statistics, . , Contact DST Consulting for access to micro-data., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/notifications-of-concern-for-children-and-young-people

Documentation of statistics

Documentation of statistics: Accounts Statistics for Non-Agricultural Private Sector

Contact info, Business Dynamics, Business Statistics , Jeppe Strandgaard Herring , +45 24 44 43 06 , JHR@dst.dk , Get documentation of statistics as pdf, Accounts Statistics for Non-Agricultural Private Sector 2024 , Previous versions, Accounts Statistics for Non-Agricultural Private Sector 2023, Accounts Statistics for Non-Agricultural Private Sector 2022, Accounts Statistics for Non-Agricultural Private Sector 2021, Accounts Statistics for Non-Agricultural Private Sector 2020, Accounts Statistics for Non-Agricultural Private Sector 2019, Accounts Statistics for Non-Agricultural Private Sector 2018, Accounts Statistics for Non-Agricultural Private Sector 2017, Accounts Statistics for Non-Agricultural Private Sector 2016, Accounts Statistics for Non-Agricultural Private Sector 2015, Accounts Statistics for Non-Agricultural Private Sector 2014, Accounts Statistics for Non-Agricultural Private Sector 2013, Accounts Statistics for Non-Agricultural Private Sector 2012, The purpose of Accounts statistics is to analyze the activity level and of the structure of the Danish business sector. This means that the statistics should be seen as a primary source of financial data for analytical studies of Danish business enterprises, including data required for the evaluation and conception of Government policies and decisions affecting the business community. Moreover, the accounts statistics are an essential input to the Danish national accounts statistics., Statistical presentation, The statistics annually show enterprises income statements, balance sheets, and investments both at the enterprise level and at the establishment level. The statistical basis includes detailed accounting items, including revenue, consumption of goods, expenses, annual results, assets, liabilities, and investments. The accounting statistics for private urban businesses do not include agriculture, fishing, ports, financial institutions, insurance, public housing companies, public administration, etc. The statistics only cover market activity. The statistics are published in "News from Statistics Denmark" and in the "StatBank.", Read more about statistical presentation, Statistical processing, Information is obtained annually from a sample of enterprises using online reporting. The online questionnaire follows the Danish Financial Statements Act as much as possible, and the information obtained undergoes a systematic troubleshooting in Statistics Denmark. Data is supplemented with data from several other sources. Based on the collected and other data, values ​​for all variables are calculated for the full population., Read more about statistical processing, Relevance, Applications: studies of business economics, regional finance studies, primary data for the Danish national accounts and for Eurostat's structural business statistics. Users: Public authorities, Eurostat, employers' and employees' federations, private firms, politicians, economists, scientist, journalists and students., Read more about relevance, Accuracy and reliability, The statistics provide a reliable picture of the financial situation of the Danish business community, as it is based on a broad sample, administrative data and is based on detailed accounts. Most confident is the statistics at the enterprise level, as the annual accounts are made at this level., It is assumed that the enterprises in which information is received from SKAT and the Danish Business Authority, in the same industries and with the same ownership form, are comparable with the enterprises in the sample. Furthermore, it is assumed that enterprises with less than 5 employees are comparable to enterprises with 6-10 employees, for enterprises that do not have a large VAT turnover (industry dependent but typically at least DKK 150 million)., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are usually published provisionally approx. 6 months after and finally approx. 12 months after the last closing date (April 30) and usually without delay in relation to the announced time., Read more about timeliness and punctuality, Comparability, The new type of accounts statistics is largely comparable with, and supplemented by, the SKAT data based accounts statistics which were discontinued after 1998. Statistics Denmark publishes statistics on various subjects related to business accounts, notably VAT-related turnover, manufacturers' sales of commodities, and short-term statistics of order books and sales. However, these statistics are not directly comparable with the accounts statistics, because of differences in units, coverage or concepts., Read more about comparability, Accessibility and clarity, The statistics are published in , NYT from Statistics Denmark, in Danish, . In StatBank data are published under the subject , Enterprise finance and accounts, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/accounts-statistics-for-non-agricultural-private-sector

Documentation of statistics

Documentation of statistics: Payments by the Ministry of Culture

Contact info, Science, Technology and Culture , Søren Østerballe , +45 23 42 32 97 , SRB@dst.dk , Get documentation of statistics as pdf, Payments by the Ministry of Culture 2023 , Previous versions, Payments by the Ministry of Culture 2022, Payments by the Ministry of Culture 2020, Payments by the Ministry of Culture 2019, Payments by the Ministry of Culture 2018, Payments by the Ministry of Culture 2017, Payments by the Ministry of Culture 2016, Payments by the Ministry of Culture 2015, Payments by the Ministry of Culture 2014, Payments by the Ministry of Culture 2013, The purpose of the statistics Payments by the Ministry of Culture is to provide a comprehensive overview of the magnitude, scope and distribution of payments by the Ministry of Culture for cultural purposes. Payments by the Ministry of Culture in combination with the statistics Public Funding for Cultural Purposes provide a detailed picture of state financing and support for cultural activities. The statistics cover the period from 2010 and onwards., Statistical presentation, The statistics are an annual statement of payments for promoting purposes within the area of the Ministry of Culture, e.g. for the operation of institutions, specific activities and projects, scholarships, etc. and shows the distribution on different cultural domains and geography. Recipients are described by age and gender (persons) or company form and size (companies). The payments to authors, translators, etc. linked to the Public Lending Rights' Fund and the distribution of disbursements to the special, cultural domains Children and Young People, Research and Education are tabulated., Read more about statistical presentation, Statistical processing, The Ministry of Culture sends annual data to Statistics Denmark on payments including amounts, purpose, geographical and other targeting, as well as information on recipients. Statistics Denmark debugs data and links them with background information about the recipients. This information is for personal recipients age, area of residence and gender. For companies background information is location, and size and type of business. Finally, data is tabulated and published in StatBank Denmark following a number of additional checks., Read more about statistical processing, Relevance, The statistics can be used for summaries of public funding for various cultural purposes over time. The statistics can be used as an indicator of state grants for cultural purposes, with the proviso that other ministries besides the Ministry of Culture also can pay out grants for cultural purposes. Moreover, the statistics describes geographical distribution of funding as well as characteristics of recipients in terms of geography, sex and age (persons), or size and business type (companies). The statistics is established and continuously developed in collaboration with the Ministry of Culture., Read more about relevance, Accuracy and reliability, Data is collected via the Ministry of Culture's grant administrative systems, other financial systems and the Government Accounts. There are no uncertainty calculations available, but the overall precision is assessed to be very high with regard to the current payments from the Ministry of Culture. Over time, adjustments may occur in the Ministry of Culture's allocation of cultural subjects to certain schemes and budget areas. Likewise, changes in remit mean that government grants can be moved between departments. The ongoing adjustments can thus affect comparability over time., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are normally published in mid-June approximately 5½ months after the end of the reference period. The statistics are usually published without delay in relation to the announced time., Read more about timeliness and punctuality, Comparability, When assessing time series from these statistics, the user should be aware of shifts in the Ministry of Culture's area of responsibility etc. as described under Comparability over Time. For example, the data breach from 2011 to 2012 is due to reshuffles after the formation of the government in 2011. The Ministry of Culture was handed over the area of ​​public education and the folk high schools from the Ministry of Children and Education, and castles and cultural properties were moved from the Ministry of Finance to the Ministry of Culture. Finally, the higher artistic educations were moved from the Ministry of Culture to the Ministry for Research, Innovation and Higher Education., As of the publication of 2019 figures, the designation of case regions has changed compared to before, as it is possible for certain types of payment to define the case region more precisely than before., Read more about comparability, Accessibility and clarity, Payments by the Ministry of Culture is presented on the subject page for , Education, economy and employment in the cultural field, . The results are published annually through a , News, Article from Statistics Denmark and a series of interactive , StatBank, Denmark tables showing i.a. the geographical distribution of payments as well as sums and characteristics of personal and company recipients., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/payments-by-the-ministry-of-culture

Documentation of statistics

Documentation of statistics: Adult education and continuing training

Contact info, Population and Education, Social Statistics , Susanne Mainz Sørensen , +45 20 34 51 79 , SMS@dst.dk , Get documentation of statistics as pdf, Adult education and continuing training 2024 , Previous versions, Adult education and continuing training 2023, Adult education and continuing training 2022, Adult education and continuing training 2021, Courses and Adult Education 2020, Courses and Adult Education 2019, Courses and Adult Education 2018, Courses and Adult Education 2017, Courses and Adult Education 2016, Courses and Adult Education 2016, Courses and Adult Education 2013-2014, Courses and Adult Education 2012-2013, The purpose of the statistics is to provide a picture of the people's participation in courses and adult education i.e. formal courses which are financed, planned and controlled by a public provider., The data collection on course activities has stated at different times for the different course types, and the first ones are registered from 1970's. , Statistical presentation, The statistics gives information on number of persons participating in courses and adult education i.e. formal external courses which are financed, planned and controlled by a public provider. If an education consists of several modules as in the case of Higher Preparatory Examination (HF) or a diploma, each module is counted. The information is collected and kept in the Course Participation Register., If the course participant has completed a number of courses that add up to a whole education e.g. the Higher Preparatory Examination (HF), an academy exam or a diploma the information on the attained qualifications is collected and kept in the Quality Register., Read more about statistical presentation, Statistical processing, Data comes from eight different data collection. , The Ministry of Immigration and Integration collect and checks data for language courses for foreigners before data is send to Statistics Denmark. The Ministry of Education collect and checks data for the adult vocational programmes (in Danish AMU), general and preparatory education and Business Schools before is send to Statistics Denmark. The information from the vocational colleges, business academies, universities and artistic educational institutions is collected by Statistics Denmark After the data has been received, all data undergo an error check in Statistics Denmark., Read more about statistical processing, Relevance, The users of the statistics includes individuals, civil servants, private organizations, foreign actors and the respondents of the data., Applications: Public and private planning, Research, Education, Debate and Marketing etc., One to two times a year members of a Danish committee on education (in Danish, "Kontaktudvalget for Uddannelse") meets. In connection with this meeting user-representatives from selected ministries, Labour market organisations and NGOs in the Education sector have the opportunity to comment on the statistics., Read more about relevance, Accuracy and reliability, The school year 2024 lacks information on AMU, AVU, FVU, HF single subject, dyslexia education, GSK, GIF and open profession. They will be included in the next update of the table. Please note that data at institutions under Ministry of Culture are not included. Moreover, under reporting sometimes occurs the first years after a new activity has been reported. , The far most important source of inaccuracy is incorrect or insufficient registrations. The course provider have the opportunity of reporting supplementary data for previous periods, mainly the year before. Therefore, the latest year is considered as being provisional. The opportunity is used only in a few cases. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published within one year after the reference year. The date of publication may vary and is therefore announced separately each year., The statistics is published on time., Read more about timeliness and punctuality, Comparability, Consistency over time is good in some areas e.g. for Higher Preparatory Examination (in Danish, HF) and Business Administration (in Danish, HD). In other areas as is the case with adult vocational programmes (in Danish, AMU), many changes in course subject and course length make comparability difficult. The activity reflects the trends on the labour market and changes in subsidies. There are no comparable statistics from other countries., Statistics Denmark has since 2015 released data about the course Danish labour market language skills. Since July 1 2017 this course is no longer being offered and has resulted in a notable decrease in the numbers. , Read more about comparability, Accessibility and clarity, The main figures are published online in Statbank Denmark, http://www.statbank.dk. , Taylor-made statistics is available via Statistics Denmark's Costumers Centre. , Micro-data are accessible via Statistics Denmark's Researcher's Centre., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/adult-education-and-continuing-training

Documentation of statistics

Older documents

Follow this link to get access to , reports, documents and working papers of older date, ., Projects in collaboration with external institutions, Regarding economic effects on Denmark and Italy in connection with EU's enlargement. December 2001., Eastern enlargement of the EU: Economic costs and benefits for the EU present member states?, The case of Denmark, The case of Italy, Economic Working Papers,  (ADAM and DREAM), The DREAM group moved to the ministry of finance in march 2002., 2001:6   [DREAM] , The Optimal Level of Progressivity in the Labor Income Tax in a Model with Competitive Markets and Idiosyncratic Uncertainty, Toke Ward Petersen, September 2001 , 2001:5   [DREAM] , Interest Rate Risk over the Life-Cycle: A General Equilibrium Approach, Toke Ward Petersen, September 2001 ,  , 2001:4   [DREAM] , Indivisible Labor and the Welfare Effects of Labor Income Tax Reform, Toke Ward Petersen, September 2001 , 2001:3   [DREAM] , General Equilibrium Tax Policy with Hyperbolic Consumers, Toke Ward Petersen, July 2001 , 2001:2   [ADAM] , Modelling private consumption in ADAM, Henrik Hansen, N. Arne Dam og Henrik C. Olesen, August 2001 , 2001:1   [DREAM] , Fiscal Sustainability and Generational Burden Sharing in Denmark, Svend Erik Hougaard Jensen, Ulrik Nødgaard og Lars Haagen Pedersen, Maj 2001 ,  , 2000:5  [DREAM], V, elfærdseffekter ved skattesænkninger i DREAM, Anders Due Madsen, December 2000 ,  , 2000:4  [DREAM] , Har vi råd til velfærdsstaten ?, Lars Haagen Pedersen og Peter Trier, December 2000 ,  , 2000:3  [ADAM] , Current Price Identities in Macroeconomic Models, Asger Olsen and Peter Rørmose Jensen, August 2000 ,  , 2000:2  [ADAM] , General Perfect Aggregation of Industries in Input-Output Models, Asger Olsen, August 2000 ,  , 2000:1  [ADAM-DREAM] , Langsigtsmultiplikatorer i ADAM og DREAM - en sammenlignende analyse, Lars Haagen Pedersen og Martin Rasmussen, Maj 2000  ,   , 1999:4  [ADAM] , Løn-pris spiraler og crowding out i makroøkonometriske modeller, Carl-Johan Dalgaard og Martin Rasmussen, December 1999 ,  , 1999:3  [DREAM] , Earned Income Tax Credit in a Disaggregated Labor Market with Minimum Wage Contracts, Lars Haagen Pedersen & Peter Stephensen, November 1999, En kortere version af papiret er publiceret i Harrison, Hougaard Jensen, Pedersen & Rutherford (ed.): , Using Dynamic General Equilibrium Models for Policy Analysis, , North-Holland 2000,  , 1999:2 [ADAM] , Aggregation in Macroeconomic Models: An empirical Input-Output Approach, Asger Olsen, August 1999, Den endelige version er publiceret i , Economic Modelling, , 17:4 (2000) pp. 545-558 ,  , 1999:1  [ADAM] , Efterspørgslen efter produktionsfaktorer i Danmark, Thomas Thomsen, August 1999 ,  , 1998:6  [DREAM], A CGE Analysis of the Danish 1993 Tax Reform, Martin B. Knudsen, Lars Haagen Pedersen, Toke Ward Petersen, Peter Stephensen and Peter Trier, Oktober 1998,  , 1998:5  [DREAM] , Wage Formation and Minimum Wage Contracts, Lars Haagen Pedersen, Nina Smith (CLS) and Peter Stephensen, April 1998 ,  , 1998:4  [DREAM] , An introduction to CGE-modelling and an illustrative application to Eastern European Integration with the EU, Toke Ward Petersen, September 1997 ,  , 1998:3  [DREAM], I, Introduktion til CGE-modeller, Toke Ward Petersen, Oktober 1997, En kortere version er publiceret i Nationaløkonomisk Tidskrift 135 (1997) pp. 113-134,  , 1998:2  [ADAM] , Links between short- and long-run factor demand, Thomas Thomsen, December 1997, Den endelige version er publiceret i , Journal of Econometrics, , 97:1 (2000) pp. 1-23 ,  , 1998:1  [ADAM] , Faktorblokkens udviklingshistorie, 1991-1995, Thomas Thomsen, December 1997 ,  ,  

https://www.dst.dk/en/Statistik/ADAM/Dokumentation/AndetDok

Documentation of statistics: Manufacturers’ Sales of Goods (quarterly)

Contact info, Short Term Statistics, Business Statistics , Morten Skovrider Kollerup , +45 24 52 61 68 , MSL@dst.dk , Get documentation of statistics as pdf, Manufacturers Sales of Goods (quarterly) 2024 Quarter 4 , Previous versions, Manufacturers’ Sales of Goods (quarterly) 2024 Quarter 3, Manufacturers’ Sales of Goods (quarterly) 2024 Quarter 2, Manufacturers’ Sales of Goods (quarterly) 2024 Quarter 1, Manufacturers’ Sales of Goods (quarterly) 2023 Quarter 4, Manufacturers’ Sales of Goods (quarterly) 2023 Quarter 3, Manufacturers’ Sales of Goods (quarterly) 2023 Quarter 2, Manufacturers’ Sales of Goods (quarterly) 2023 Quarter 1, Manufacturers’ Sales of Goods (quarterly) 2022 Quarter 4, Manufacturers’ Sales of Goods (quarterly) 2022 Quarter 3, Manufacturers’ Sales of Goods (quarterly) 2022 Quarter 2, Manufacturers’ Sales of Goods (quarterly) 2022 Quarter 1, Manufacturers’ Sales of Goods (quarterly) 2021 Quarter 4, Manufacturers’ Sales of Goods (quarterly) 2021 Quarter 3, Manufacturers’ Sales of Goods (quarterly) 2021 Quarter 2, Manufacturers’ Sales of Goods (quarterly) 2021 Quarter 1, Manufacturers’ Sales of Goods (quarterly) 2020 Quarter 4, Manufacturers’ Sales of Goods (quarterly) 2020 Quarter 3, Manufacturers’ Sales of Goods (quarterly) 2020 Quarter 2, Manufacturers’ Sales of Goods (quarterly) 2020 Quarter 1, Manufacturers’ Sales of Goods (quarterly) 2019 Quarter 4, Manufacturers’ Sales of Goods (quarterly) 2019 Quarter 3, Manufacturers’ Sales of Goods 2019 Quarter 2, Manufacturers’ Sales of Goods 2019 Quarter 1, Manufacturers’ Sales of Goods 2018 Quarter 4, Manufacturers’ Sales of Goods 2018 Quarter 3, Manufacturers’ Sales of Goods 2018 Quarter 2, Manufacturers’ Sales of Goods 2018 Quarter 1, Manufacturers’ Sales of Goods 2017 Quarter 4, Manufacturers’ Sales of Goods 2017 Quarter 3, Manufacturers’ Sales of Goods 2017 Quarter 2, Manufacturers’ Sales of Goods 2017 Quarter 1, Manufacturers’ Sales of Goods 2016 Quarter 4, Manufacturers’ Sales of Goods 2016 Quarter 3, Manufacturers’ Sales of Goods 2016 Quarter 2, Manufacturers’ Sales of Goods 2016 Quarter 1, Manufacturers’ Sales of Goods 2015 Quarter 4, Manufacturers’ Sales of Goods 2015 Quarter 3, Manufacturers’ Sales of Goods 2015 Quarter 2, Manufacturers’ Sales of Goods 2015 Quarter 1, Manufacturers’ Sales of Goods 2014 Quarter 4, Manufacturers’ Sales of Goods 2014 Quarter 1, The purpose of the statistics is to describe the Danish industrial production by detailed type of goods. Manufacturers' sales of goods is the source for Danish Prodcom statistics, regulated by and submitted to Eurostat., Statistical presentation, The statistics describe manufacturers' sales of goods measured in terms of volume and value by detailed types of goods according to the international classifications CN and SITC. In addition to this, total sales (turnover) are distributed by industries (NACE groups)., The data collecting for the statistics for 2020 has partly been affected by the COVID-19 situation. However, it is assessed that the overall statistics has not been affected in any great extent., Since 2020, Statistics Denmark has carried out extensive work to ensure the quality of the reports from the largest companies. This has led to some audits for the years 2018 to 2022., Read more about statistical presentation, Statistical processing, Data are collected through a quarterly survey of all enterprises in manufacturing (including mining and quarrying) with at least 10 employees or a yearly turnover over 100 mio. dkk, approx. 3,000 units. Reported data are validated, by checking against previous reports as well as against other sources. Data are then aggregated by industrial groupings as well as commodity groups. Series with seasonality are seasonally adjusted., Read more about statistical processing, Relevance, The statistics are in high demand from many different users, including the National Accounts, ministries, trade associations, market analysts, researchers, consultants and businesses., Read more about relevance, Accuracy and reliability, The main non-sampling error is the measurement error concerning classification at the most detailed CN level, as respondents do not always report sales according to the correct codes. Furthermore, data on quantities are generally less reliable than those on values, as some respondents estimate quantities and others do not answer, implying that estimations must be made in the statistical production process., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published two months after the end of the reference quarter. Publications are released on time, as stated in the release calendar., Read more about timeliness and punctuality, Comparability, In its present form and as available in StatBank Denmark, the statistics are comparable since 1995, but the statistics have been produced in some form since 1905. The Prodcom-version of the statistics can be compared to Prodcom statistics of other EU countries. The statistics can be compared to Foreign Trade in Goods to create statistics on apparent consumption - for this, it is important to note the difference in coverage and the potential quality issues at the most detailed CN code level. The tables with sales by industry are consistent from 2000 following the DB07 classification. , Read more about comparability, Accessibility and clarity, These statistics are published annually at the beginning of March in a Danish press release. Quarterly figures are published in the StatBank under , Purchases and sales by manufacturing industries, . Internationally, these statistics are available through Eurostat's , database, and at the UN, where the statistics are disseminated under , Industrial Commodity Statistics, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/manufacturers--sales-of-goods--quarterly-

Documentation of statistics

Documentation of statistics: Nights spent at hotels, holiday resorts and youth hostels

Contact info, Short Term Statistics, Business Statistics , Nanna Nikander Nonboe-Nygaard , +45 20 56 39 57 , nio@dst.dk , Get documentation of statistics as pdf, Nights spent at hotels, holiday resorts and youth hostels 2025 , Previous versions, Nights spent at hotels, holiday resorts and youth hostels 2024, Nights spent at hotels, holiday resorts and youth hostels 2023, Nights spent at hotels, holiday resorts and youth hostels 2022, Nights spent at hotels, holiday resorts and youth hostels 2021, Nights spent at hotels, holiday resorts and youth hostels 2020, Nights spent at hotels, holiday resorts and youth hostels 2019, Nights spent at hotels, holiday resorts and youth hostels 2018, Nights spent at hotels, holiday resorts and youth hostels 2017, The purpose of the statistics "Nights spent at hotels, holiday centers and hostels" is to describe the occupancy and capacity of Danish hotels, holiday centers and hostels. The survey is used by i.e. EU, business and tourism organizations and municipalities in order to analyze the development in tourism. The survey has been compiled since 1969, but is only comparable from 1992 and onwards. , Statistical presentation, The accommodation survey "Nights spent at hotels, holiday centers and hostels" is a monthly summary on occupancy and capacity in Danish hotels, holiday centers and hostels with a minimum capacity of 40 bed places. The accommodation survey is broken down by capacity and geography of the establishment as well as the purpose and country of residence of the guest. Furthermore there is an annual census on occupancy and capacity for hotels, holiday centers and hostels with 10-39 bed places., Read more about statistical presentation, Statistical processing, Data for the statistics are collected monthly from Danish hotels, holiday resorts, hostels etc. with a minimum of 40 bed places and yearly from Danish hotels, holiday resorts, hostels etc. with 10-39 bed places using an online questionnaire or by using a system-to-system solution where the accommodations booking system automatically sends data to Statistics Denmark. Collected data are validated on micro-level during the data collection and again on macro-level when aggregated. The validated data are then imputed with missing values and afterwards aggregated into geographical and nationality totals. , Read more about statistical processing, Relevance, The accommodation statistics are relevant for accommodation businesses, Eurostat, ministries and business and tourism organizations for forecasts, analysis and planning. The accommodation statistics are under constant review and the user needs are rapidly changing with the emergence of peer-to-peer platforms such as AirBnB. , Read more about relevance, Accuracy and reliability, The monthly statistic only cover hotels, holiday resorts and hostels etc. with at least 40 bed places. The annual statistics also cover hotels, holiday resorts and hostels etc. with 10-39 bed places. A possible source of error can be that the respondents have difficulties distinguishing between the concepts of nights spent and arrivals. Missing answers are imputed which may lead to revisions of published data. , Read more about accuracy and reliability, Timeliness and punctuality, The monthly statistics for hotels, holiday centers and hostels etc. with a minimum of 40 bed places are published monthly approx. 40 days after the end of the reference month. The statistics is published without delay according to the planned publication tables. The final statistics are published annually together with the statistics for Hotels, holiday centers and hostels etc. with 10-39 bed places. The Annual statistics are published approx. 100 days after the end of the reference year., Read more about timeliness and punctuality, Comparability, The accommodation statistics is comparable with the other EU-statistics on tourism. The breakdown into nationalities has expanded from 13 to 51 since 1996 and this can weaken the comparability when using time series. , Read more about comparability, Accessibility and clarity, The statistics are published in , Nyt fra Danmarks Statistik, . Data are published in statbank at , Hotels, holiday centres and hostels, og , All types of overnight accommodation, and in an annual publication with all types of overnight accommodation. For more information about the statistics look at the , subject page, ., Statistics on a municipality level or for a province can be found at VisitDenmark. If you wish to combine statistics of tourism with other types of variables or combine variables in a different way please contact DST Consulting., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/nights-spent-at-hotels--holiday-resorts-and-youth-hostels

Documentation of statistics