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Drug abuse treatment

On this page, you can find information about drug abuse treatment in Denmark. There are numbers on the number of people in drug abuse treatment given by the municipalities. Privately paid treatment is not included in these statistics, just as people in anonymous substance abuse treatment are not included either. It is also possible to see figures of the number of new treatment courses and the number of courses, where the treatment guarantee was exceeded., Persons in drug abuse treatment, This graph show the number of women and men in drug abuse treatment., In Statbank Denmark, you can find more data on Drug abuse treatment (SMDBV003), More about the figure, Last update, 13.6.2025, Next update, 15.6.2026, Source data, Reports from the municipalities and drug abuse treatment centers. From January 1, 2024, it is only mandatory to report for drug abuse offers that have authorization to report on behalf of a municipality., Read more about sources, method and quality in the documentation of statistics on Drug Abuse Treatment, Drug abuse treatment courses, This graph show the number of new drug abuse treatment courses, In Statbank Denmark, you can find more data on Drug abuse treatment (SMDBV004), More about the figure, Last update, 13.6.2025, Next update, 15.6.2026, Source data, Reports from the municipalities and drug abuse treatment centers. From January 1, 2024, it is only mandatory to report for drug abuse offers that have authorization to report on behalf of a municipality., Read more about sources, method and quality in the documentation of statistics on Drug Abuse Treatment, Persons in drug abuse treatment by municipality, This map show the number of persons in drug abuse treatment by municipality, Get your own statistics in the Statbank about Drug abuse treatment (SMDBV002), More about the figure, Last update, 13.6.2025, Next update, 15.6.2026, Source data, Reports from the municipalities and drug abuse treatment centers. From January 1, 2024, it is only mandatory to report for drug abuse offers that have authorization to report on behalf of a municipality., Read more about sources, method and quality in the documentation of statistics on Drug Abuse Treatment, Exceedances of the drug treatment guarantee, This map shows how many instances the municipalities have exceeded the treatment guarantee of 14 days from request to initiation of treatment., Get your own statistics in the Statbank about Drug abuse treatment (SMDBV004), More about the figure, Last update, 13.6.2025, Next update, 15.6.2026, Source data, Reports from the municipalities and drug abuse treatment centers. From January 1, 2024, it is only mandatory to report for drug abuse offers that have authorization to report on behalf of a municipality., Read more about sources, method and quality in the documentation of statistics on Drug Abuse Treatment, 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:, Drug Abuse Treatment, 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., Read more about sources, method and quality in the documentation of statistics on Drug Abuse Treatment, Need more data on Drug abuse treatment?, For more information, see StatBank, where you can find detailed data for instance on the number of requests, initiations and ended treatment courses, persons in treatment below and over age of 18 years of age, number of courses with exceedances of the drug treatment guarantee compared to new treatment courses in total and data about status at ended treatment course., Go to the StatBank, Contact, SMDB-support, Phone: +45 39 17 34 90, Mail: , smdb@dst.dk

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

Subject page

Certification of users

All users working with data in one of Statistics Denmark’s microdata schemes must achieve certification. The certification ensures that everybody knows the data security rules under Statistics Denmark’s microdata schemes and feels safe using and transferring data. To ensure continued high focus on the data security rules, all users must subsequently achieve re-certification once a year.,  , Certification in practice, In practice, the certification takes place via Denmark’s Data Portal, where you must pass a test with questions on the data security rules described in , Research Services data security rules under the microdata schemes (pdf), . It is a good idea to read the rules before you start. You have three attempts per day to pass., See the video guide for user certification (in Danish), This is how you do it:, Log into Denmark’s Data Portal with your three/four-character ident and password., On your landing page, select the window ‘Learning and certification’. , Then select the tab ‘Certifications’. If it does not drop down automatically, click the small blue arrow., Answer the certification questions by clicking ‘Start certification’ and ‘OK’ in the info box that pops up., Answer the questions by clicking the option you believe to be correct., When you have answered all the questions, you click the button ‘Submit answer’, which has turned blue meanwhile., If you answer all ten questions correctly, you have passed the certification and you are considered able to handle data in accordance with our data security rules., Under ’Result’, your status will be indicated as ’Passed’, and a green info box appears with the text ’Congratulations, you have passed’., Under ’Resultat’ vil din status figurere som ’Bestået’, og der vises en grøn infoboks med teksten ’Tillykke, du har bestået’. , If you do not answer all ten questions correctly, you can see under ’Result’ how many questions you answered incorrectly in your attempt and how many remaining attempts you have. Furthermore, a red info box appears with the text ‘Sorry, you have not passed’., a) If you have more attempts left and want to re-take the test, press ’Certification front page’ and start over. Note that you have three attempts per day and that the questions change from time to time. Consider re-visiting the data security rules, before you try again., b) If you do not have any attempts left, your access to your projects will be locked for 24 hours. The small watch icon indicates when the 24 hours are up. After that, you can take the test again., The certification questions, The test contains questions about the data security rules (, data security rules under the microdata schemes (pdf), ). Since Statistics Denmark’s data security rules may differ from the practice in other institutions, it is important to read and know the rules under the microdata schemes. Knowing the rules is also the basis for answering the ten certification questions correctly. , Read more about the data security rules under Rules on transfer of analysis results , The questions are about access to researcher machines, pseudonymisation, transfer rules and working in general with data. Below you will find an example of a question that you can encounter in the certification test:, Question 1:, You have collected a survey that you are working on locally. You have registered the survey with the Danish Data Protection Agency, so the permits are in place. You have also sent the survey to Statistics Denmark to have the option of linking the survey with register data on the researcher server. Which is the correct statement?, Reply options:, a. You are allowed to download/transfer microdata from the survey that you have uploaded yourself., b. The only microdata you are not allowed to transfer, is microdata provided by Statistics Denmark to your project., c. Retrieval of microdata is never allowed regardless of data source.

https://www.dst.dk/en/TilSalg/data-til-forskning/brugeradgang/certificering-af-brugere

Documentation of statistics: The annual and quarterly working time accounts before the 2016 revision (Discontinued)

Contact info, Labour Market , Get documentation of statistics as pdf, The Annual and Quarterly Working Time Accounts Before the 2016 revision 2016 Quarter 1 , Previous versions, The Annual and Quarterly Working Time Accounts 2014 Quarter 3, The Annual and Quarterly Working Time Accounts 2014 Quarter 4, The Annual and Quarterly Working Time Accounts 2015 Quarter 1, The Annual and Quarterly Working Time Accounts 2015 Quarter 2, The Annual and Quarterly Working Time Accounts 2015 Quarter 3, The Annual and Quarterly Working Time Accounts 2015 Quarter 4, The Danish Working Time Accounts (WTA) is an integrated statistics with consistent time series on employment, number of jobs, hours worked and compensation of employees in both annual and quarterly basis. The current time series goes back to 2008 (quarterly statistics as from the 1st quarter of 2008)., Statistical presentation, The Working Time Accounts produce integrated statistics with consistent time series on employment, jobs, number of hours worked and compensation of employees on an annual and quarterly basis. The data basis is made up by a number of primary statistical data, which are adapted and adjusted to achieve agreement of the concepts and definitions used in the WTA system., The statistical sources used in the WTA are: , The Register-Based Labour Force statistics (RAS), , Establishment-related employment statistics (ERE statistics), , The Structural Earning Statistics (SES), , Employment Statistics for Employees (BfL) og , The Labour Force Survey (LFS)., Read more about statistical presentation, Statistical processing, The population and concepts as well as levels of the variables are defined by annual structural data sources. Short-term data sources are applied in projecting these levels over the months of the year and in periods for which structural data are not available. Summation of the data in the Working Time Account is conducted before they are projected. Data in the Working Time Account are seasonally adjusted both for use in Denmark as well as for use in Eurostat’s STS. The system contains a data-editing system, a correction system and a dissemination system., Read more about statistical processing, Relevance, Users interested in the social and economic statistics have expressed satisfaction with the quality of the statistics. However, they also expressed frustration over large data breaches, especially in the transition to e-Income-based sources., Read more about relevance, Accuracy and reliability, There are no calculations of the measures of accuracy., See section quality assessment., Read more about accuracy and reliability, Timeliness and punctuality, Working hours are regularly published in accordance with Statistics Denmark's benchmark goals. , For quarterly statistics concerned, this goal implies that the publications to be released at the latest ​​by the end of the following quarter. For the sake of short-term business regulation (STS), this implies that the WTA to be published typically by the middle of the last month of the following quarter. (The requirement for most employment series for STS is 2 months and 15 days). For annual statistics concerned, this implies that publications to be released at the latest by the end of the following year. In the interest of national accounts the annual WTA will be published in June with provisional figures for the previous year. This makes the annually WTA for the year , t, to be published in the same month as the publication of the quarterly WTA for the period , 1 quarter t +1, . , The transition to the new WTA resulted, however, that annual WTA 2011, based on the new eIncome sources, were not published until December 2012, whereas the publication of the quarterly statistics has not given rise to any delay., Read more about timeliness and punctuality, Comparability, WTA deliver labour market data to Eurostat's corporate short-term regulation (STS) and the national accounts (ESA / ESA). Therefore, changes in these regulations typically result in changes in the WTA. A description of the transitional tables between the WTA and the National Accounts can be found in the publications on the National Accounts. Transitional tables between the WTA and the Register-based Labour Force Statistics and the Establishment-related Employment Statistics are published in Statistical News ("Statistiske Efterretninger") for the annual WTA., Read more about comparability, Accessibility and clarity, The statistics are published in: , News from Statistics Denmark (Nyt fra Danmarks Statistik), , in the series Statistical News ("Statistiske Efterretninger") and , in the Statbank Denmark ("Danmarks Statistikbank")., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/the-annual-and-quarterly-working-time-accounts-before-the-2016-revision--discontinued-

Documentation of statistics

Documentation of statistics: Indices of Average Earnings for the Private Sector (Discontinued)

Contact info, Personal Finances and Welfare , Get documentation of statistics as pdf, Indices of Average Earnings for the Private Sector 2019 , Previous versions, Indices of Average Earnings for the Private Sector 2018, Indices of Average Earnings for the Private Sector 2017, Indices of Average Earnings for the Private Sector 2016, Indices of Average Earnings for the Private Sector 2015, Indices of Average Earnings for the Private Sector 2014, The purpose of the index of average earnings is to indicate trends in earnings for different industries in the private sector exclusive of enterprises categorised as public administration or -services (state, regional or municipal). The index of average earnings was first published for the first quarter of 1994 under the name , the index of average earnings in the private sector, . Since then the index has been published based on the Danish Industrial Classification of 1996 (DB96), Danish Industrial Classification of 2003 (DB03) and since the third quarter of 2008 based on the Danish Industrial Classification of 2007 (DB07). Moreover, the index of average earnings replaced the index of hourly earnings for workers in manufacturing industry and the index of monthly earnings for salaried employees in manufacturing industry, which were discontinued at the end of 1997., Statistical presentation, The index of average earnings comprises all employees, salaried employees (white collar employee or officials) and wage-earners (blue collar workers) as well as apprentices and young people under 18 years employed in a business enterprise with 10 or more persons in the private sector. The entire private sector is covered by the indices, including e.g. employees in private schools and private hospitals. Still, the index does not include enterprises belonging to either the agriculture or fisheries industries. In accordance with the nomenclature DB07 (Danish Industrial Classification 2007), the the index is broken down by industry and since the third quarter of 2008 published at the most detailed level according to the 36-grouping in DB07. For a period between the first quarter of 2005 and the second quarter of 2008, the indices were only published at the 10-grouping level., Read more about statistical presentation, Statistical processing, Data are collected from the private enterprises and organisations that are included in the sample and cover the second month of the quarter in question. To start with, a rough search for errors is performed on the data. Then, the change in the average earnings per hour from the previous quarter is calculated for each enterprise. Only enterprises where data exists for both quarters are included in the computations. The average hourly wage per observations in the sample is then weighted to take account of all enterprises in a specific branch of economic activity in the population. A total figure for the average hourly wage and the rate of increase from the last quarter is then calculated for each branch of economic activity. After this the index point and the annual rate of increase is calculated for each branch. Finally the total index point and annual rate of increase is found as a total for all branches., Read more about statistical processing, Relevance, Private corporations and organisations in Denmark and abroad, and ministries and other public institutions are the most frequent users of the index. The index is especially used in relation to regulation of contracts. In addition to that, the index plays a vital part in the wage negotiations of employees in the public sector., Read more about relevance, Accuracy and reliability, The accuracy and reliability is mainly affected by two factors. First of all, the index is based on a sample, which in itself cause some uncertainty. Second of all, there is some uncertainty connected to the completeness in the collected data, which is often caused by errors in the way the system is generated for transmission of data. An example of this is a payroll system where the different wage compositions are not correctly linked or reported, and thus give an inaccurate picture of the development of wages. The problem with errors like these is that they tend to be difficult to discover. For example would reporting of a low and wrong value for irregular payments result in too high calculation of wage developments, as the irregular payments could not be separated from the wage component., Read more about accuracy and reliability, Timeliness and punctuality, The index of average earnings is published approximately 60 days after the end of the quarter in question. The punctuality of the publication is considered high and there has been no delays of any kind during the last years., Read more about timeliness and punctuality, Comparability, The index of average earnings for Corporations and Organizations, replace , the index of average earnings of the private sector, which was last published for the fourth quarter of 2013. The comparability of the two indices is considered to be high. The difference has to do with the new applied delimitations of the sectors, where some of the public owned enterprises, such as Danish Railways (DSB) and some of the municipal owned resource centers, now according to the new delimitations of the sectors belong to “the index of average earnings of Corporations and Organizations”. The new sector delimitations were applied in the indices going back to first quarter of 2013, where it caused a small data breach., Read more about comparability, Accessibility and clarity, These statistics are published in the Statbank under , Implicit index of average earnings, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/indices-of-average-earnings-for-the-private-sector--discontinued-

Documentation of statistics

Documentation of statistics: Water and Waste Water

Contact info, National Accounts, Climate and Environment, Economic Statistics , Michael Berg Rasmussen , +45 51 46 23 15 , MBR@dst.dk , Get documentation of statistics as pdf, Water and Waste Water 2023 , Previous versions, Water and Waste Water 2022, Water and Waste Water 2021, Water and Waste Water 2020, Water and Waste Water 2019, Water and Waste Water 2018, Water and Waste Water 2016, Water and Waste Water 2014, 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., Statistical presentation, The water account consist of a physical and an economic part. The physical water account document abstraction of water, use well as the discharge of waste water to the aquatic environment in households and 117 industry groups as used in the other parts of the environmental economic account and in the ordinary Danish National Accounts. The economic water account document the income in water supply and waste water treatment plants from households and industry groups. The water accounts are prepared annually and published in Latest releases from Statistics Denmark and in StatBank Denmark., The water account is a module in the environmental economic accounts for Denmark. Read about the , environmental economic accounts, ., Read more about statistical presentation, Statistical processing, Statistics Denmark prepares water statistics based on data from GEUS on abstraction of water and waste water statistics based on data from the Danish Environmental Protection Agency. The distribution of abstraction of water, use of water and discharge of waste water between industrial groups as well as the cost are based on a number of additional sources., Read more about statistical processing, Relevance, Water accounts and statistics are of relevance for administrative bodies, researchers, NGOs, businesses, the educational sector and individuals - all with interests in water, pollution, resources, economic-environmental interactions, etc. To ensure international comparability, the waste accounts are prepared according to the UN statistical standard SEEA (System of Environmental-Economic Accounting) 2012., Read more about relevance, Accuracy and reliability, The coverage of data abstraction water is assessed to be high. However, for fish farming the information may be insufficient. Therefore missing values have been imputed., The coverage of data on waste water discharge is assessed to be high, as the information by law has to be included in development water management plans., The coverage of data on abstraction of water, flows and deliveries to end users is assumed to be high., The distribution on industrial groups - especially the 117 level - is subjected to some uncertainty., Read more about accuracy and reliability, Timeliness and punctuality, The statistics as well as physical and economic accounts have been published on time 11 months after the end of the reference period., Read more about timeliness and punctuality, Comparability, The methods and data sources for the Water Accounts are unchanged throughout the period covered by published figures (2010-). International comparison is possible with all other national water accounts based on UN's statistical standard SEEA 2012., Read more about comparability, Accessibility and clarity, The statistics are published in News from Statistics Denmark and in the Statbank. They will also be part of future publications from Statistics Denmark on Environmental-Economic Accounts (Green National Accounts)., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/water-and-waste-water

Documentation of statistics

Documentation of statistics: Sales of food and beverages to food service

Contact info, Food Industries, Business Statistics , Martin Lundø , +45 51 46 15 12 , MLU@dst.dk , Get documentation of statistics as pdf, Sales of food and beverages to food service 2024 , Previous versions, Sales of food and beverages to food service 2023, Sales of food and beverages to food service 2022, Sales of food and beverages to food service 2021, Sales of Organic Products to Foodservice 2020, Sales of Organic Products to Foodservice 2019, Sales of Organic Products to Foodservice 2018, Sales of Organic Products to Foodservice 2017, Sales of Organic Products to Foodservice 2016, Sales of Organic Products to Foodservice 2015, Sales of Organic Products to Foodservice 2014, Sales of Organic Products to Foodservice 2013, The purpose of the statistics Sales of food and beverages to food service is to provide an overall picture of sales of food and beverages to commercial kitchens, restaurants, institutions, etc. There is a special focus on organic foods, as a supplement to Retail sales of organic foods. The statistics have been compiled annually since 2013 with grant funding from the Ministry of Food, Agriculture and Fisheries., Statistical presentation, The statistics are an annual web-based questionnaire survey on wholesalers' sales of food and beverages to the foodservice area - i.e. commercial kitchens, restaurants, institutions, etc. – i.e. companies and institutions where food is served. The questions relate partly to total turnover for foodservice, partly to turnover for organic foodservice, distributed over a limited number of product groups and customer groups. The turnover is calculated in terms of value (DKK million) and quantity (tons)., Read more about statistical presentation, Statistical processing, Data for the statistics is collected via a questionnaire-based total count of food wholesalers with over 40 million DKK in turnover. Data is validated in connection with the collection in an online form. Data is subsequently checked and corrected after re-contact with the food wholesalers. Data is then summed up for statistics and key figures are calculated., Read more about statistical processing, Relevance, The purpose of the statistics is to provide an overall picture of sales of food and beverages to commercial kitchens, restaurants, institutions, etc. There is a special focus on organic foods, as a supplement to the statistics Retail sales of organic foods. Foodservice has become more important in recent years and a group of industry organizations and companies have wanted comprehensive statistics on the area. The statistics are also included in the formulation and follow-up of objectives for organic food service., Read more about relevance, Accuracy and reliability, Since the statistics are a total count of companies with over 40 million in turnover, there is no sampling error. Smaller companies' sales are not known, but based on the total turnover, it is estimated that less than 5 percent of total sales to foodservice are from these companies. More than 95 percent of the companies have answered the survey. For some companies, it is difficult to obtain the figures for the survey. These have provided best estimates instead. The total sales are more certain than sales divided into product or customer groups., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 9 months after the end of the reference period. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, There are no common guidelines for international statistics on foodservice., The statistics can be compared to a limited extent with the Retail turnover of organic food. However, this survey measures retail turnover including VAT, in contrast to Sales of food and beverages to foodservice, which measures wholesale turnover excluding VAT., Read more about comparability, Accessibility and clarity, The statistics are published in news release from Statistics , Nyt fra Danmarks Statistik, under the subject Miljø og Energi, Økologi (in Danish only). Statistics Bank publishes figures for Sales of organic goods for foodservice under the subject , Environment and Energy, Ecology, . See more on the statistics' , Subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sales-of-food-and-beverages-to-food-service

Documentation of statistics

Documentation of statistics: Financial accounts for general government

Contact info, Government Finances, Economic Statistics , Jacob König , +45 40 40 58 41 , COB@dst.dk , Get documentation of statistics as pdf, Financial accounts for general government 2025 , Previous versions, Financial accounts for general government 2023, Financial accounts for general government 2022, Financial accounts for general government 2021, Financial accounts for general government 2020, Financial accounts for general government 2019, Financial accounts for general government 2018, Financial accounts for general government 2017, Financial accounts for general government 2016, Financial accounts for general government 2015, Financial accounts for general government 2014, The purpose of the quarterly financial accounts for general government is to present a detailed picture of the holdings, transactions (buying and selling), other changes in volume and revaluations of financial assets/liabilities by financial instruments., To ensure international comparability the statistics comply with the European System of Accounts - ESA 2010., The annual financial accounts for general government has been published since 2001 while the quarterly financial accounts has been published since June 2002. The statistics is available from Q1 1995 and onwards., Statistical presentation, Quarterly financial accounts make up a consistent system, showing the financial flows and net worth of the general government sector of the economy over time. The financial accounts for the general government sector, the financial (transactions) account, which shows buying and selling of financial instruments, describes an important part of the transition from the opening balance sheet account to the closing balance sheet account. Because the financial instruments are valued at market price, another important part of the transition is made up by revaluations, which are shown in the revaluation account. The remaining part is found in the account of other changes in volume, showing e.g. losses on debtors and relocations of units between sectors. As a general rule opening balance sheet + financial transactions + revaluations + other change in volume = closing balance sheet should always hold. When published the revaluation account and the account of other change in volume are combined. The statistics is published both consolidated and unconsolidated and with counterpart information for the domestic and foreign sector, respectively. The economic measures and consequences of the COVID-19 pandemic affects the financial accounts for the general government, but the data quality is not significantly reduced., Read more about statistical presentation, Statistical processing, The main sources are the accounts of central and local government as well as social security funds. Additional information are received from, among others, the Central Bank. , Data are mainly received on a quarterly basis and validated using other data sources and, when necessary, directly with the data providers., The financial accounts for general government has with the compilation of Q2 2020 been revised for the period 2017-2020 as part of a major collaboration with Danmarks Nationalbank on the overall financial accounts for Denmark., Read more about statistical processing, Relevance, The users of , Quarterly financial accounts, are primarily expected to be Danmarks Nationalbank, financial institutions, economic ministries, lobby organizations, financial analysts (in general for the purpose of analysis, forecasting and modeling)., Read more about relevance, Accuracy and reliability, The quarterly financial accounts are based on a number of sources that may be influenced by a certain degree of inaccuracy, which may affect the quarterly financial accounts. Because of the consistency checks and the data confrontations carried out, the influence of the inaccuracy of the sources is, however, reduced., In principle, it is not possible to measure the level of inaccuracy. However, the net lending/net borrowing across the general government sector, which are calculated before the final balancing is carried out, are comparable with the same measure in the non-financial accounts. The differences can be regarded as a measure of accuracy for the national accounts as a whole., Read more about accuracy and reliability, Timeliness and punctuality, Data is published approximately at t+3 months., High degree of punctuality: Data has been published at the announced time since the first publication in 2003., Read more about timeliness and punctuality, Comparability, Comparison over time is high as there are no significant breaks in the time series, and none at all for the last 10 years., Internationally the level of comparison is high as the Danish national accounts follow the ESA 2010 guidelines., Read more about comparability, Accessibility and clarity, Current publications: The statistics are published in , News from Statistics Denmark (Nyt fra Danmarks Statistik, ), and in the series , Statistical News (Statistiske Efterretninger), ., Yearbooks:, Statistical Yearbook (Statistisk Årbog), and , Statistical Ten-year Rewiev (Statistisk Tiårsoversigt), ., http://www.Statbank.dk: Annually financial accounts and Quarterly financial accounts for the general government sector (updated quarterly) (OFF13 and OFF22)., Subject page: , Financial accounts, government finance, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/financial-accounts-for-general-government

Documentation of statistics

Documentation of statistics: Budgets of General Government

Contact info, Government Finances , Martin Rune Rasmussen , +45 24 77 42 71 , MRA@dst.dk , Get documentation of statistics as pdf, Budgets of General Government 2025 , Previous versions, Budgets of General Government 2024, Budgets of General Government 2021, Budgets of General Government 2020, Budgets of General Government 2019, Budgets of General Government 2018, Budgets of General Government 2015, The purpose of Budgets of General Government is to analyze the economic activities of general government and to analyze the distribution of tasks and burden between sub-sectors of general government and finally to show the interaction between this sector and the rest of the economy. The budget-statistics of the February-version is based on passed budgets of state, counties and municipalities as well as social welfare funds. The September version is based on proposals for the state budget and the March version is based on the state budget. Both versions are compiled in cooperation with the Department of Finance. The calculations of the budget statistics of counties and municipalities are based on a national accounting standards interpretation of the municipal financial agreements. Social welfare funds numbers are calculated on estimates from unemployment funds. The statistics were produced for the first time in 1995. Data are available from 1996 and onward., Statistical presentation, The statistics monitor current and capital expenditure/revenue for the general government based on budgets. Net lending / net borrowing of the general government are shown. Expenditure /revenue items are shown by type of transaction and by type of function. Taxes, subsidies and transfers to households are sub-divided by type., Read more about statistical presentation, Statistical processing, The data is collected continuously in the months before the publication from the public budget systems and other supplementary sources. It is then compiled according to national accounts principles, where it may be necessary to contact the specific source to clarify certain characteristics of the entries. It may be necessary to make imputations in cases where the data isn’t available at the time of publication. When a full dataset is compiled for all subsectors balancing is carried out to secure internal consistency., Read more about statistical processing, Relevance, Many users who monitor the public economy have interest in the published statistics of government finance statistics. The statistics is in demand from ministries, politicians, public and private institutions, researchers, enterprises and news media. The statistics often gets a lot of attention in the media and amongst other professional users., Read more about relevance, Accuracy and reliability, The statistic covers the entire target population. The central government budget is received from Agency for Public Finance and Management (Økonomistyrelsen). All municipalities and regions must report their budgets, and missing budgets are thus not permitted. As the budgets are delivered directly from the municipalities and regions' own financial management systems and compared with data from prior years as well as the budget, it is assumed that no major measurement errors exist. If there are blank or invalid variables or dataset the municipality or region is contacted so new data may be sent., Read more about accuracy and reliability, Timeliness and punctuality, The March-version is published three month after the adoption of the budget. The September version is published one week after the publication of the budget proposal. The statistic is usually published without delay in regards to the announced time., Read more about timeliness and punctuality, Comparability, Data are comparable according to ESA2010 from the fiscal year 2015 and onward. For the years 1995 to 2014 the figures is comparable according to ESA1995, Read more about comparability, Accessibility and clarity, [!!! Start import from current English QD : Paragraph 5.1 !!!], The statistics are published in Nyt fra Danmarks Statistik (News from Statistics Denmark) and in Offentlige finanser (Public Finance) appearing in the series Statistiske Efterretninger (Statistical News). Yearly publications: Statistical Yearbook and Statistical Ten-Year Review., [!!! End import from current English QD : Paragraph 5.1 !!!], Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/budgets-of-general-government

Documentation of statistics

Documentation of statistics: Social protection expenditure

Contact info, Government Finances, Economic Statistics , Marianne Ahle Møller , +45 24 66 00 28 , MNM@dst.dk , Get documentation of statistics as pdf, Social protection expenditure 2024 , Previous versions, Social protection expenditure 2023, Social protection expenditure 2022, Social protection expenditure 2021, Social protection expenditure 2020, Social protection expenditure 2018, Social protection expenditure 2017, Social protection expenditure 2016, Social protection expenditure 2015, Social protection expenditure 2014, Social protection expenditure 2013, The purpose of the Social Expenditure Statistics is to illuminate expenditure connected to social protection targeting individuals and households. Social protection encompasses a society’s interventions intended to relieve individuals and households of the financial burden of a defined set of risks or needs, e.g. illness. The statistics provide an overview of the development in expenditures related to social protection in Denmark and can be used to compare the level of social protection internationally. The statistics have been compiled since 2007 and are based on a European statistics system., Statistical presentation, The statistics are an annual statement of expenditures on benefits connected to social protection assessed in DKK million. Social benefits are benefits intended to relieve households and individuals of the financial burden of a defined set of risks or needs, e.g. illness or unemployment. The statement includes both cash benefits and benefits in kind (e.g. free health care services). The statistics are divided into eight main areas and includes the whole of Denmark as well as some Danish pensioners abroad. The benefits include both public and private expenses., Read more about statistical presentation, Statistical processing, The data for this statistic is collected yearly via the main sources: central and local accounts. It is supplemented with internal data deliveries from insurance- and pensions subsectors, application matrixes, hours and days of absence from work, and an external data delivery on tax rates used for enumerating the statistic from the Ministry of Finance., The collected data is validated via removal of potential errors, coding, and treatment processes leading to the final result, which, amongst other things, demands reviews and quality assurance of codes, expenditures and developments over time., Read more about statistical processing, Relevance, Data on social expenditure is in big demand from international organizations, e.g. from Eurostat and Directorate-General for Employment, Social Affairs and Inclusion (DG EMPL)., Read more about relevance, Accuracy and reliability, This statistic is based on the statistic for General Government Finances, and is relevant for users interested in expenditures connected to social protection (expenditures linked to education are excluded from this statistic)., The statistic is published on a yearly basis and is revised two years back in time in every production, which ensures consistency and transparency in the data., In regards to possible uncertainties, the level of the total social expenditures to be slightly underestimated., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published annually, approximately 10 months after the end of the calendar year. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The statistic is comparable from 2007 and onwards. It is comparable to the statistic for General Government Finances, which follows the principles of National Accounts., The statistic is regulated by order by the EU and is also published by Eurostat via the , ESSPROS, -system (European System of Integrated Social PROtection Statistics), albeit in slightly different categories than those presented in the Danish Stat bank. This makes the statistic internationally comparable with statistics in other countries reporting to the ESSPROS system in Eurostat., Read more about comparability, Accessibility and clarity, The statistic is published annually in the form of two statistics tables in the , Statbank, and a Danish news release in , Nyt fra Danmarks Statistik, . , In addition, internationally comparable figures for this statistic are available in the Social protection expenditures available on , Eurostat's website, . , More information is available on the page of Social Expenditures at , Statistics Denmark’s website, , as well as on the , site on classifications, , where e.g. codes, categories and manuals in for the statistic are accessible., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/social-protection-expenditure

Documentation of statistics

Documentation of statistics: Financial assets and liabilities of local government

Contact info, Government Finances , Ralf Frimand , +45 29 39 42 73 , RAF@dst.dk , Get documentation of statistics as pdf, Financial assets and liabilities of local government 2020 , Previous versions, Financial assets and liabilities of local government 2019, Financial assets and liabilities of local government 2018, Financial assets and liabilities of local government 2017, Financial assets and liabilities of local government 2016, Financial assets and liabilities of local government 2015, Financial assets and liabilities of local government 2014, The purpose of the statistics is to analyze the financial assets and liabilities of the municipalities and regions, including especially the liquid assets and long term debt., Statistical presentation, The statistic monitors the financial assets and liabilities of municipalities and regions broken down by functions. A function is the equivalent to an account in the accounting plan for municipalities and regions. Only the financial assets and liabilities are published quarterly. The current expenditure etc. is only published annually. Quarterly data are all preliminary, as the accounts of the municipalities and regions are not completed until the final accounts in May the following year. This means that corrections and account changes in the previous quarters of the year may happen., Read more about statistical presentation, Statistical processing, Data is delivered quarterly from the municipalities and regions' own financial management systems. Error detection is done on a micro level through error detection rules based the official accounting system. The rules are updated annually according to the notices for the municipalities and regions sent out by the Ministry the Interior. The accounts for the individual municipalities and regions are also compared with the accounts of the year before. Both absolute and relative changes are considered and all 98 municipalities and 5 regions are checked., Read more about statistical processing, Relevance, There is a great interest in the published municipal and regional quarterly accounts among users with an interest in the municipalities and regions. The users are among others the municipalities and regions themselves, ministries, organizations, the media, politicians, private businesses, and private people. The accounts are also used in a number of other areas, including calculation of the EMU-debt, the EDP questionnaire for Eurostat, government planning, business cycle monitoring, and the financial accounts in the national accounts for government expenditure and revenue., Read more about relevance, Accuracy and reliability, There is a large variation between the quarterly accounts of the individual municipalities, partially because the placement of the individual account items can be interpreted in different ways. Adding to this is a number of unspecified account items (joint purpose). Some account items are estimated to be more 'safe' than others. This can be due to the fact that they reflect reimbursements from central government and therefore possibly the subject of ministerial interest. Some parts of the accounts are thus more 'safe' on a detailed level than others. Data for the quarterly accounts are preliminary, as the accounts of the municipalities and regions are not final until May the following year., Read more about accuracy and reliability, Timeliness and punctuality, The publication time of the quarterly accounts of the municipalities and regions is approx. 35 days, from the last day of the quarter to the publication around 5 weeks later. The statistic has a high degree of punctuality, as it is usually published without delay in regards to the announced time., Read more about timeliness and punctuality, Comparability, Statistics Denmark has since 1977 electronically received and stored information concerning the financial assets and liabilities of local authorities at the end of the fiscal year. There is a break in data i 2007 due to the municipality reform, which means that the periods 1984-2006 and 2007- are hard to compare. Furthermore the following factors can complicate comparability over time: changes in the budget- and accounting systems, the assignments in the municipalities can changes over time, and the different ways the municipalities interpret the budget- and accounting system., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Municipal accounts, and , Regional accounts, . For more information please see the subject page for , Municipalities and regions, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/financial-assets-and-liabilities-of-local-government1

Documentation of statistics