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BUDR32: County budgets (DKK 1.000)

county council district, function, dranst, kind, price unit and time
2007-2026 (-)

https://www.statbank.dk/BUDR32

Tables in StatBank

Shelters and care homes

How many people stay in shelters or in care homes? Find information about the age and gender of the individuals, the number of stays and the duration of the stays., Persons in shelters and care homes, See the number of people staying in shelters and care homes distributed by age., In Statbank Denmark, you can find more data on Persons in shelters (HERFOR1), More about the figure, Last update, 26.6.2025, Next update, 24.6.2026, Source data, Each quarter, the individual accommodation reports data concerning the users who are enrolled or discharged from the accommodation facility. The statistics include all registered stays of a user during the year. , Data are collected from 117 shelters in 2024 (There are 117 unique propositions within section 110 in 2024 cf. Tilbudsportalen). Accommodations that are covered by the statistics must report enrollment and discharges. In addition, at the enrollment information is obtained on where the user stayed lately, and what type of stay it was according to shelters by section 110. In regards to the discharge, question about how the discharge took place and where the user was discharged to is asked. The collected data are linked to information from the population register in Statistics Denmark., Read more about sources, method and quality in the documentation of statistics on Shelters, Persons in shelters and care homes by gender, See the distribution of gender for individuals staying in shelters or care homes., In Statbank Denmark, you can find more data on Persons in shelters (HERFOR2), More about the figure, Last update, 26.6.2025, Next update, 24.6.2026, Source data, Each quarter, the individual accommodation reports data concerning the users who are enrolled or discharged from the accommodation facility. The statistics include all registered stays of a user during the year. , Data are collected from 117 shelters in 2024 (There are 117 unique propositions within section 110 in 2024 cf. Tilbudsportalen). Accommodations that are covered by the statistics must report enrollment and discharges. In addition, at the enrollment information is obtained on where the user stayed lately, and what type of stay it was according to shelters by section 110. In regards to the discharge, question about how the discharge took place and where the user was discharged to is asked. The collected data are linked to information from the population register in Statistics Denmark., Read more about sources, method and quality in the documentation of statistics on Shelters, Duration of stays in shelters and care homes., See the number of days that individuals stay in a shelter or in a care home., In Statbank Denmark, you can find more data on Stay in shelters (HERFOR3), More about the figure, Last update, 26.6.2025, Next update, 24.6.2026, Source data, Each quarter, the individual accommodation reports data concerning the users who are enrolled or discharged from the accommodation facility. The statistics include all registered stays of a user during the year. , Data are collected from 117 shelters in 2024 (There are 117 unique propositions within section 110 in 2024 cf. Tilbudsportalen). Accommodations that are covered by the statistics must report enrollment and discharges. In addition, at the enrollment information is obtained on where the user stayed lately, and what type of stay it was according to shelters by section 110. In regards to the discharge, question about how the discharge took place and where the user was discharged to is asked. The collected data are linked to information from the population register in Statistics Denmark., Read more about sources, method and quality in the documentation of statistics on Shelters, Age and gender of the individuals in shelters and care homes, See the distribution of age and gender., In Statbank Denmark, you can find more data on Persons in shelters (HERFOR2), More about the figure, Last update, 26.6.2025, Next update, 24.6.2026, Source data, Each quarter, the individual accommodation reports data concerning the users who are enrolled or discharged from the accommodation facility. The statistics include all registered stays of a user during the year. , Data are collected from 117 shelters in 2024 (There are 117 unique propositions within section 110 in 2024 cf. Tilbudsportalen). Accommodations that are covered by the statistics must report enrollment and discharges. In addition, at the enrollment information is obtained on where the user stayed lately, and what type of stay it was according to shelters by section 110. In regards to the discharge, question about how the discharge took place and where the user was discharged to is asked. The collected data are linked to information from the population register in Statistics Denmark., Read more about sources, method and quality in the documentation of statistics on Shelters, 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:, Shelters, The purpose of the statistics Shelters is to provide information about the users of the types of accommodation as prescribed by section 110 of the Social Services Act, which includes reception centers etc. The statistics were originally established by the National Board of Social Appeals in 1999. Until July 1st 2016, the Appeals Board managed the statistics, after which it was transferred to Statistics Denmark. , Read more about sources, method and quality in the documentation of statistics on Shelters, Need more data on Shelters and care homes?, For more information, see StatBank, where you can find detailed data on e.g. about the number of stays pr. person., Go to the StatBank, Contact, Bosted, Phone: +45 39 17 38 10, Mail: , bosted@dst.dk

https://www.dst.dk/en/Statistik/emner/sociale-forhold/social-stoette/herberger-og-forsorgshjem

Subject page

Revision and error policy

When a set of statistics is , revised, , an already published value or a figure is changed. This may happen e.g. because new and more reliable source data has become available, because of changes in methods, classifications and definitions or because of error corrections. Revisions are usually planned, and the users are notified in advance., Published statistics and other material must be quality assured when published, but , errors , may occur in figures or related text. When an error is detected, the users are informed, and the error is corrected as soon as possible., Revisions, Revisions are made in accordance with the ESS guidelines on revision policy for PEEIs (Principal European Economic Indicators). This means that revisions comply with harmonised procedures and principles and that revision practices for the individual sets of statistics are put down in writing and disseminated to the users of the statistics., The users are notified in advance of scheduled revisions. This is done in the documentation of statistics and sometimes on Statistics Denmark’s website, e.g. in the scheduled releases., Most revisions occur on a regular basis. This happens when sources required for a set of statistics are not fully available to meet the need for flash estimates. In such cases, , preliminary, statistics may be prepared on the basis of part of the sources to ensure timeliness. When the planned sources are available, the , final, figures are prepared. Macro-economic statistics follow the Harmonised European Revision Policy for Macroeconomic Statistics (HERP), which indicates at what intervals and how soon after the end of the reference period revisions can be made. Revisions thus take place in the statistical systems of all countries., When a set of statistics is seasonally adjusted, it will automatically result in revision of previously released seasonally-adjusted figures when a new period is added. This also happens, even though there are no changes in the historical non-seasonally-adjusted figures. , Some statistics must be consistent with statistics produced outside Statistics Den-mark. In some cases, there may be interim revisions that do not have an end date, and thus do not exist in an actual final form. This is the case with statistics such as the Emission Accounts. , Major revisions, are especially prevalent in macro-economic statistics that follow binding international guidelines (so-called manuals) and are based on a number of different primary statistics; which is the case for national accounts, government finances, balance of payments and working time accounts. An important quality of these sets of statistics is that they are intercorrelated and they describe the economic trend over many years. Since efforts are also made to ensure consistency between primary statistics and macro-statistics, there may be cases where new sources and methods are only partly incorporated in the primary statistics, or where the most user-friendly solution is for any level changes to await a major revision to ensure coherence between primary statistics and macro-statistics. , Another reason for making a major revision is the fact that new international guide-lines and assessment rules have been introduced, which imply major changes. To en-sure coherence between the various statistical systems, major revisions in the national accounts, government finances, balance of payments and working time accounts are carried out in accordance with a common schedule, of which users and stakeholders are notified as soon as possible. , The major revisions are carried out years apart and also change what is referred to above as final figures. For macro-economic statistics e.g., major revisions must be carried out every five years according HERP. , Statistics Denmark is continuously improving the statistical production to give the best possible account of the situation in society. For that reason, changes may occur in classifications, data sources and methods, where a revision of the statistics is deemed necessary, even though it is beyond both the regular revisions and major revisions. However, the users will always be notified of these changes., In connection with revisions, it must be ensured that:, Period and scope of the basis for revisions are determined and coordinated with the remaining statistical production., It appears from the documentation of statistics that regular revisions take place, and it is described when the statistics will be released in revised and fi-nal form. It also appears from the documentation of statistics if seasonal adjustments are made., For statistics that are subject to regular revisions, it appears from the news series “Nyt fra Danmarks Statistik” (in Danish only) and other publications when preliminary figures are concerned. , Analyses are made of the revisions to continuously improve the calculations of the preliminary figures. E.g. the size of revisions is examined and whether they are in a particular direction., The scope and any causes of revisions are described in both the documentation of statistics and “Nyt fra Danmarks Statistik”., Revisions are discussed with the users on a regular basis., In case of an unscheduled revision, changes will be described in the related documentation of statistics, and users will be notified, when this is deemed necessary., For some sets of statistics, Statbank Denmark has version tables showing the step by step changes in released figures., Errors, Errors in the released statistics may be caused by errors in data deliveries from external sources or reporting from enterprises, but they may also be caused by errors in Statistics Denmark’s data processing or dissemination., In both cases, Statistics Denmark will correct the error as soon as possible. We examine which releases, data, statistics and periods that are affected, what caused the error, and how it can be corrected. Once the error has been corrected, the users whom we know have used the release will be notified as soon as possible. In a few cases, it may be necessary to give notice of the error before it is corrected., Error corrections in figures or text will be marked and described in the following way:, Nyt fra Danmarks Statistik:, Corrections are made in the latest version., The error will be described, and the correction will be inserted in red., A date will indicate when the correction was made., Subscribers to the news series will receive an email describing the error., Statbank Denmark tables:, Tables in Statbank Denmark can be closed temporarily, if this is deemed nec-essary., All periods affected will be corrected as soon as possible – preferably on the same day as the error is found., The error will be described in the table footnote., An email is sent giving notice of the error to users who have a user profile in Statbank Denmark., Subject pages:, When data have been corrected in Statbank Denmark, the relevant subject page will also be updated., Publications, Statistics Denmark analyses, news articles:, Only the digital version will be changed (publications)., Only the latest version will be changed (publications)., The error will be described, and the correction will be inserted in red., A date indicates when the correction was made., Subscribers to the news series will receive an email describing the error., Press releases:, If there are errors in a press release, an estimate will always be made of the scope and timeliness of the error as well as whether important principal conclusions are affected by it. If it is deemed necessary, a new notification will be distributed from which it appears that a correction is concerned. The corrected version will be published via Ritzau., Facebook and LinkedIn:, Posts on Facebook and LinkedIn will not be deleted, instead the text in the post will be changed (Facebook and LinkedIn)., From the beginning of the post or thread, it will appear that it has been changed, and the reason for the change will be described (Facebook and LinkedIn).,  

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

Quality in official statistics

Several factors characterise the quality of official statistics even if it is often accuracy that is focused on when talking about quality - that is, how precisely the statistics describe reality. For the users, however, it is also important that the statistics are relevant so that they describe the phenomenon the user is interested in. The statistics must also be timely enough for it to be a basis for decisions, and it must therefore not take too long before it is published. Time series that describe the development in an area and are comparable to similar developments in other countries are often important. For the users, the statistics must also be accessible – readily available, easy to locate and presented through formats that enable understanding.,  , What is official statistics?, Statistics contribute to decisions at all levels in Danish society being made on the basis of credible and objective information - everything from government policy and research to the actions of private companies and the everyday choices of individuals. A prerequisite for this, however, is that there are standards that ensure that the statistics are credible and objective. To address this issue, the concept of ‘Official Statistics’ has been introduced in the Act on Statistics Denmark. The act stipulates that statistics that are publicly produced and that meet a number of quality criteria can be called official statistics. For all public authorities that produce statistics, guidelines for official statistics have been prepared, which are described in more detail on the , Official Statistics Portal,  (in Danish only).,  , Common quality framework, European Statistics Code of Practice, The European Statistics Code of Practice is the cornerstone of the common framework for the quality of European Statistics. The Code of Practice consists of 16 principles covering institutional environment, statistical processes and statistical output. The Code of Practice was adopted in 2005 and revised in 2011 and 2017., The Code of Practice is designed to strengthen confidence in the European Statistical System and to ensure that all producers of official statistics in the EU apply the best international statistical principles and methods., European Statistics Code of Practice (pdf), In support of the Code of Practice, a Quality Assurance Framework has been developed. This supports the quality requirements and provides advice on methods, tools and practices that can be useful in implementing measures to be able to comply the Code of Practice., Quality Assurance Framework of the European Statistical System (pdf),  , UN’s Fundamental Principles, UN’s Fundamental Principles for Official statistics, Principle 1. Official statistics provide an indispensable element in the information system of a democratic society, serving the Government, the economy and the public with data about the economic, demographic, social and environmental situation. To this end, official statistics that meet the test of practical utility are to be compiled and made available on an impartial basis by official statistical agencies to honour citizens’ entitlement to public information. , Principle 2. To retain trust in official statistics, the statistical agencies need to decide according to strictly professional considerations, including scientific principles and professional ethics, on the methods and procedures for the collection, processing, storage and presentation of statistical data. , Principle 3. To facilitate a correct interpretation of the data, the statistical agencies are to present information according to scientific standards on the sources, methods and procedures of the statistics. , Principle 4. The statistical agencies are entitled to comment on erroneous interpretation and misuse of statistics., Principle 5. Data for statistical purposes may be drawn from all types of sources, be they statistical surveys or administrative records. Statistical agencies are to choose the source with regard to quality, timeliness, costs and the burden on respondents. , Principle 6. Individual data collected by statistical agencies for statistical compilation, whether they refer to natural or legal persons, are to be strictly confidential and used exclusively for statistical purposes. , Principle 7. The laws, regulations and measures under which the statistical systems operate are to be made public. , Principle 8. Coordination among statistical agencies within countries is essential to achieve consistency and efficiency in the statistical system. , Principle 9. The use by statistical agencies in each country of international concepts, classifications and methods promotes the consistency and efficiency of statistical systems at all official levels. , Principle 10. Bilateral and multilateral cooperation in statistics contributes to the improvement of systems of official statistics in all countries.,  ,  , European quality evaluation – ESS peer review , Evaluations and reviews of Statistics Denmark, including international evaluations, are carried out at regular intervals, for example, ESS peer reviews. The purpose of peer reviews is to evaluate whether the EU Member States and EFTA-countries comply with the 16 basic principles of official statistics as set out in the Code of Conduct for European Statistics. In addition, coordination within the national statistical system as well as integration in relation to the ESS is evaluated., In the spring of 2022, Denmark was last assessed by a European expert team. The European team of experts, organized by Eurostat, made their assessment of the production of statistics through documentation and self-assessment. The expert team had dialogues with Statistics Denmark, other national producers of European statistics, the media and other users of European statistics as well as representatives of suppliers of data for statistical production. The other producers of European statistics that also were assessed were the Danish Energy Agency, the Danish Environmental Protection Agency and the Danish Immigration Service. As a result of the peer review, the expert team has delivered recommendations that can contribute to improving the quality of official statistics in Denmark., Peer review report 2022 (pdf), Follow-up on the European Peer Review 2022, In the spring of 2022, Statistics Denmark was last assessed by a team of European experts in a peer review. Following the peer review, a report is prepared with recommendations for improvements. Statistics Denmark has, in response to these recommendations, developed a series of improvement actions, which we will work to implement towards 2027. Our improvement actions can be found in the document below., The improvement actions were formulated at the end of 2022, but has not been published before November 2024, as a prolonged harmonization process in Eurostat has delayed the process. In some areas, this delay could result in processes being initiated that are not described in our improvement actions, or that some measures has lost their relevance and timeliness., Follow up on peer review - improvement action (pdf),  , Two rounds of peer reviews have previously been conducted - in 2007 and in 2015:, Peer review report 2015 (pdf), Peer review report 2007 (pdf),  ,  

https://www.dst.dk/en/OmDS/kvalitet-og-styring/kvalitet-for-statistikproduktion/kvalitet-i-officiel-statistik

International cooperation

Participation in the European statistical system plays an important part in Statistics Denmark’s international involvement. Furthermore, Statistics Denmark is also an active player in other international forums, among others UN and OECD., ESS – European Statistical System, Statistics Denmark is a member of the European Statistical System (, ESS, ). The ESS is a , partnership , between the Community statistical authority (, Eurostat, ), the national statistical institutes and other national statistics producers in each Member States. There are , 12 other national authorities , producing European statistics in Denmark and are hereby included as such in the ESS. This ESS partnership also includes the EFTA countries. The European statistics cooperation is regulated in , the law on European statistics, ., The purpose of the European statistical cooperation is to produce comparable statistics of high quality. The statistics constitute an important basis for planning, implementation and evaluation in a number of policy and cooperation areas. EU statistics are produced under the framework of a , statistical 5-year program , adopted by the European Parliament and the Council. In order to provide users with a more thorough insight into the ESS, an , ESS report, is published yearly with more detailed information about the latest initiatives and the development of the system. , A major part of EU statistics is produced according to legislation. Statistics Denmark participates actively in all phases of the EU legislative process. This is, e.g. conducted in the Commission’s (, Eurostat´s, ) working groups, where experts from Statistics Denmark and other Member States are consulted in connection with preparation and implementation of EU statistical legislation. , The European Statistical System Committee (ESSC), which is the executive body within the ESS cooperation, is composed of the Directors General of each national statistical institute., In the years to come the European statistical system is undergoing a reform process originating in a , vision for cooperation in the European statistical system towards 2020, . The reform process focusses on 5 areas: 1) user requirements and stakeholder cooperation, 2) quality, 3) new data sources, 4) effective and quality assurance of statistical production processes, and 5) dissemination and communication., Eurostat , Eurostat , is the Statistical Office of the European Communities. It publishes EU statistics enabling comparisons between Member States and regions. Eurostat was set up in accordance with a , decision , made by the Commission., EU legislation on statistics, In order to ensure comparable EU statistics from country to country and over time, the majority of the statistics is produced in accordance with binding EU legal acts., Current EU legal acts on statistics, All statistics are compiled in accordance with the quality standards of , European Statistics Code of Practice , Cooperation with other international organizations, Statistics Denmark cooperates with several international organizations. Among the most important are: United Nations Statistical Commission and the European part hereof, Statistical department of United Nations Economic Commission for Europe (UNECE), Organization for Economic Co-operation and Development (OECD), International Monetary Fund (IMF) and International Labour Organization (ILO)., United Nations Statistical Commission, United Nations Statistical Commission,  was set up by United Nations Economic and Social Council (ECOSOC) in 1947 and assists the Economic and Social Council with the following tasks, e.g.: , To promote the development of national statistics and improve their comparability., To develop the central statistics function at United Nations Statistics Division and to coordinate the statistical work in the organizations of the United Nations., To advise the organizations of the United Nations on collection, processing and dissemination of statistics., To promote and improve statistical methods., Conference of European Statisticians (CES), Conference of European Statisticians,  (CES) is the regional UN authority for statistics. The CES reports to UN’s Statistical Commission and is part of UN’s Economic Commission for Europe (UNECE). The purposes and tasks of the CES are similar to those of the Statistical Commission. In addition to this, the CES is to contribute to closer cooperation between all producers of official statistics in the ECE region and in this connection ensures comparability, the best possible use of consumption and coordinates the collection of statistics from national producers. , Organisation for Economic Cooperation and Development (OECD), The OECD’s mission is to promote policies improving the economic as well as the social situation in the world. In order to live up to this mission the OECD and its numerous affiliated committees, expert groups, etc. require, to a great extent official statistics of high quality.  , The OECD’s statistics division, collects statistics from member states and the statistics are processed with a view to increasing comparability. The statistics are, e.g. published in the monthly edition of Main Economic Indicators. The statistical cooperation is organized in working groups under the OECD’s Committee on Statistics and Statistical Policy (CSSP)., International Monetary Fund (IMF), Statistics Denmark’s relationship with the IMF is maintained in close cooperation with the Danish Ministry of Finance and the central bank of Denmark. The IMF’s statistical work embraces mainly two areas: guidelines for compiling statistics and standards for documentation., International Labour Organization (ILO), In collaboration with the Danish Ministry of Employment, Statistics Denmark is in continuous contact with , the International Labour Organization, and submits comprehensive labour market data for the ILO’s Yearbook of Labour Statistics. The ILO plays and important role in developing and coordinating statistics on especially employment, unemployment and prices. , Coordination Committee for European Statistics, In its capacity as the national statistical authority Statistics Denmark chairs the Coordination Committee for European Statistics. The Committee was set up in 2010 and originates from the EU Regulation on European Statistics (EC) No 223/2009. In accordance with paragraph 1 of Article 5 the national statistical authorities are responsible for coordinating all activities at national level for development, production and dissemination of European statistics and shall act as the contact point for the Commission (Eurostat) on statistical matters. In addition to Statistics Denmark, the Coordination Committee for European Statistics is composed of representatives from other national statistics producers in Denmark, compiling European statistics. , The tasks of the Coordination Committee for European Statistics are as follows:, To ensure mutual exchange of information on:, a) New and ongoing European statistical initiatives with a view to coordinating activities for development, production and dissemination of European statistics,, b) Representation of Denmark in central European committees and councils in the Commission as well as the Council with a view to coordinating and harmonising activities., To contribute to answering the Commission’s general inquiries to the national European statistics producers.  , To take the initiative to cooperate and coordinate the production and dissemination of European statistics, taking place at Statistics Denmark and other national statistics producers, including the creation of  frameworks for establishing cooperative forums, which can contribute to the exchange of ’best practice’., To discuss standards concerning independency, quality (relevance, accuracy, timeliness, punctuality, accessibility, comparability and coherence), confidentiality and response burden, which must be in accordance with national and international decisions and legislation.  , To discuss Danish standards with a view to ensuring a higher degree of internationally comparable statistics., Participating institutions in the Coordination Committee for European Statistics

https://www.dst.dk/en/OmDS/kvalitet-og-styring/internationalt-samarbejde

Indexation

What is indexation? Are you required to adjust amounts in a contract according to an index? What has been the price increase for, for example, building materials? How much has the salary increased? Find a list of the most requested indices for contract, price, and salary adjustment and read more about how to use price indices for adjustment., What is indexation?, Indexation is a way of adjusting prices and values to align with changes in an industry or the economy in general. This is done by using a predetermined index that measures the price level of goods and services over time., How to use price indices for adjustment (pdf),  , Most popular indices for adjustment of contracts, prices and wages, Consumer price index and Net price index, The annual change in the consumer price index is used as a measure of inflation. Learn more about the index on the subject page , Consumer price index, . Use our , Price calculator , to compare prices from previously with today and see how the price level has developed over the years., The Net Price Index shows the development in actual consumer prices minus taxes and duties. The index is especially used by businesses for the adjustment of contracts and lease agreements., Learn more about the index and see our price calculator on the subject page , Net price index, . , In , Statbank Denmark, , you will find the following monthly indices by commodity group:, Consumer price index by commodity group, (PRIS111), Net price index by commodity group, (PRIS114), Indices for the construction sector, Introduction to each index and the latest published figures can be found on the subject page , Indices for the construction sector, ., For a comprehensive overview of all indices within the construction and civil engineering sector, please refer to , Statbank Denmark, ., Here is a selection of the most commonly used indices:, Construction cost indices for civil engineering projects, (BYG62), The index is calculated for the following categories: Earth work, Asphalt work, Concrete structures, Iron and steel structures, as well as sub-indices for Traffic performance by lorries and Materials and machinery. Additionally, an index for road construction is published, which is a composite of the indices for earth work, asphalt work, and concrete constructions., Construction cost index for residential buildings, (BYG43), The index is broken down into seven sub-indices by profession and six sub-indices by building parts. Both the total index and sub-indices are divided into material costs and labor costs., Producer price index for construction of dwellings, (PRIS90), The index show trends in prices in the first stage of commercial transactions for the construction, i.e., the transaction carried out between the construction company and the builder. The index describes the price of constructing dwelling, i.e. the price a household or a developer pays the construction company, e.g. a producer of turn-key houses, for the construction of a dwelling., Producer price index for renovation and maintenance, (PRIS91), The index reflects the price developments for the production of refurbishment and maintenance services, i.e the price the household pays a company to perform a standard refurbishment and maintenance task. I.e. a carpenter changing a window frame., Producer and import price index for commodities, Shows the price development of goods relating to the first commercial transaction (business-to-business). Primarily used for fixed-price calculations, it also serves as an economic indicator and for contract regulations in the business sector., The latest published figures can be found on the subject page , Producer and import price index for commodities, . An overview of all producer and import price indices for goods can be found in , StatBank Denmark, ., Here is the most commonly used indices:, Overall producer and import price index for commodities, (PRIS4321), Shows the total price development in the first stage of turnover for commodities produced in Denmark, as well as commodities imported into Denmark. The index includes production for the domestic market and exports, where the prices are sales prices before taxes and duties, as well as imports into Denmark, where the prices are purchase prices, including transport, before taxes and duties. , Price index for Domestic Supply by commodity group, (PRIS1121), Shows the total price development in the first stage of turnover (business-to-business) for commodities used in Denmark. It includes commodities produced for domestic market and imported commodities. , Producer price index for services, Introduction to the index and the latest figures can be found on the subject page , Producer price index for services, ., In StatBank Denmark, you can find:, Producer price index for services, (PRIS1521), Shows the price development in the first stage of commercial transaction of services, i.e. producers' selling prices to other producers (business to business), for the domestic market and export., Indices of average earnings, There are two types of wage indices: “The standardised index of average earnings" and "The implicit index of average earnings". The difference is described in the “Documentation of statistics”, section , “Coherence - cross domain” , Internationally, the implicit index of average earnings can be compared to the labor cost index collected and published by Eurostat for all EU countries., An overview of all wage indices can be found in , StatBank Denmark, . , Here is a selection of the most commonly used indices:, Standardised index of average earnings, Standardised index of average earnings by industry and sector, (SBLON1), Standardised index of average earnings by occupation and sector, (SBLON2), Implicit index of average earnings, The implicit index of average earnings will be discontinued on 27 February 2026 with the publication of Q4 2025. We refer users to the standardised index of average earnings instead. To help you handle the transition from the implicit to the standardised index of average earnings, we have prepared a guide (in Danish)., Guide-skift til standardberegnet loenindeks, Implicit index of average earnings in corporations and organizations, (ILON12), Implicit index of average earnings in the public sector, central government, (ILON22), Implicit index of average earnings in the public sector, local government , (ILON32) ,  ,  

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

Health and diseases

How many are suffering from various diseases? And how many go through surgery?, Note: Below, we provide links to Statistics Denmark and others who make statistics on the subject. In some instances, the sources referred to below have content in Danish only or limited content in English., Where can I get a general overview of the population health?, The Danish Health Authority and the National Institute of Public Health (NIPH) are behind the National Health Profile, which includes e.g. data on health behaviour, weight, self-assessed health and morbidity:, The most recent publications on the national health profile is ", Danskernes sundhed - Den nationale sundhedsprofil 2021, " and the mid-term survey ", Danskernes sundhed 2023, " (in Danish), Results from the surveys 2010, 2013, 2017, 2021 and 2023 are available in the database , "Danskernes Sundhed”,  (in Danish), Figures from 1987, 1994, 2000 and 2005 are available in the health and morbidity report ", Sundhed og sygelighed i Danmark 2010, “ (in Danish), The National Institute of Public Health (NIPH) has , publications,  on health-related population surveys as well as special analyses based on these surveys., How often and how are we in contact with the health authorities?, On Statistics Denmark’s , subject page on health,  and in , StatBank Denmark, , you can find tables on visits to physicians, admissions to hospital, bed days etc., How many are suffering from various diseases?, The Danish Health Data Agency is responsible for the National Health Registers and also publishes figures and analyses on i.a. eating disorders, dementia, schizophrenia, autism, epilepsy, osteoporosis, COPD, cancer, diabetes and fertility treatments., Read about the , National Health Registers, Figures and analyses on , Sygdomme og behandlinger, Diseases and treatments - in Danish), At the request of the Danish Health Authority, the National Institute of Public Health (NIPH) has carried out a major study of , the burden of disease in Denmark, . In February 2023, updated versions of the reports on diseases and risk factors were published., "Sygdomsbyrden i Danmark - Sygdomme, " , This report (in Danish) compares a number of disease groups - different types of cancer, diabetes, depression, anxiety, schizophrenia, dementia, ischemic heart disease, apoplexy, Chronic Obstructive Pulmonary Disease (COPD), pain in the neck and lower back, osteoarthritis and alcohol-related morbidity based on various parameter, s such as prevalence, mortality, treatment, sickness absence, premature retirement, health economics and loss of production, "Sygdomsbyrden i Danmark - Risikofaktorer, ", This report (in Danish) deals with health risk factors, and looks into selected consequences of smoking, alcohol, physical inactivity, sleep disorders, loneliness, unhealthy diet, , severe obesity and air pollution, ", Sygdomsbyrden i Danmark: Ulykker, selvskade og selvmord, " , This report (in Danish) on accidents, self-harm and suicides was published in 2017, In September 2023, 'Local Government Denmark' (KL) published an analysis (in Danish) of the prevalence of seven chronic diseases: asthma, type 1 and type 2 diabetes, osteoporosis, COPD, rheumatoid arthritis and dementia. The analysis also looks at 'multi-disease' - the occurrence of at least two of the mentioned chronic diseases at the same time:, Kronisk sygdom i befolkningen, ("Chronic disease in the population" - in Danish), Other data sources on various diseases:, Cancer, Detailed statistics on cases of cancer are available via , Cancerregisteret,  and the database,  of the Danish Health Data Authority, , Sundhedsdatabanken, (in Danish), Asthma, dementia, diabetes, COPD, rheumatoid arthritis, osteoporosis and schizophrenia, The Danish Health Data Agency is also behind a register on , Udvalgte kroniske sygdomme og svære psykiske lidelser, (in Danish), Chlamydia, gonorrhoea, syphilis, HIV/AIDS and other infectious diseases , These are monitored by , Statens Serum Institut,  (SSI). This monitoring can also be followed in,  , figures, graphs and maps, at SSI (in Danish), Coronavirus / COVID-19, Statens Serum Institut (SSI) publish current and historical figures on , COVID-19,  8in Danish), How many go through surgery?, The Danish Health Authority publish , statistics on , selected plastic surgery procedures, (in Danish) and , surgery procedures for obesity, (in Danish), Other , operations , can be extracted from the National Patient Register using an advanced extraction tool, which is particularly targeted at users from the health sector or with a good understanding of data (in Danish), How many donate organs and how many transplants are performed?, At Danish centre for organ donation “Dansk Center for Organdonation” you will find information on , organ donation and organ transplantation, (in Danish) - including number of organ donors and waiting lists. In addition, , statistics on the organ donation area, are published regularly (in Danish), ScandiaTransplant has tables on performed , transplantations and waiting list figures,  for the Nordic countries., How extensive is the consumption of medicines? , Statistics Denmark has statistics on the sale of prescription drugs, which are coupled with information on the users' gender, age, geography, education and origin. See , News-articles, (in Danish) and tables in the , StatBank Denmark, The Danish Health Data Authority is responsible for the register of medicines statistics , Lægemiddelstatistikregisteret, (in Danish), which holds information on all sales of medicines in Denmark. Among other things, the register is used for analyses of the consumption of e.g. , antibiotics, medical cannabis and ADHD medication (in Danish), In the database , Medstat.dk, , you can create tables of the annual sales of medicines. Here you can also search using groups of medicines, ATC codes or product names, but NOT popular designations such as happy pills., Danmarks Apotekerforening,  is a Danish association of pharmacists, which publishes a yearbook “Lægemidler i Danmark” (in Danish) on medicines in Denmark and various analyses regarding the use of medicine., See also, For mental disorders, see FAQ on , Stress and mental health disorders, For the mental health of children and young people, see FAQ on , Stress and mental health disorders,  , [This page was last reviewed in January 2025]

https://www.dst.dk/en/informationsservice/oss/sygdomme-og-diagnoser

Documentation of statistics: Persons below the state pension age on public benefits

Contact info, Labour Market, Social Statistics , Mikkel Zimmermann , +45 51 44 98 37 , MZI@dst.dk , Get documentation of statistics as pdf, Persons below the state pension age on public benefits 2025 , Previous versions, Persons below the state pension age on public benefits 2024, Persons below the state pension age on public benefits 2022, Persons below the state pension age on public benefits 2020, Persons below the state pension age on public benefits 2019, People Receiving Public Benefits (16-64-years-old) 2018, People Receiving Public Benefits (16-64-years-old) 2017, People Receiving Public Benefits (16-64-years-old) 2015, People Receiving Public Benefits (16-64-years-old) 2014, The purpose of the statistics is to show trends in average/full-time participation in labour market policy measures. Based on a report prepared by the activation statistics committee (report no. 1259) the first statistics were compiled as from the first quarter of 1994. The reason for setting up the committee was that the Danish statistics at that time were unable to provide reliable data on the wide variety of municipal activation schemes. The committee's work was performed over the period December 1992 to October 1993. Since 1994 new measures have been introduced and others have ceased. As from the third quarter of 1999 the number of persons working in flex- and sheltered jobs are published concurrently with the labour market policy measures. Persons participating in activation according to the job integration act were included from the first quarter of 2000. As from the third quarter of 2003, and with effect in the publications as from the first quarter of 2004, a number of changes to the codes/names were undertaken due to a political reform that meant the introduction of new activation schemes, whereas other schemes ceased to exist. From 2007 the statistics is extended with persons on early retirement pay, sickness benefit, maternity leave and from 2008 it is extended furthermore with young people in ordinary education ('SU-modtagere')., Statistical presentation, The statistics provide data on trends in the average number of participants (beneath their state pension age) with public benefits, analyzed by labour market policy measure. The activities take place within the following main groups: Unemployed, persons in supported employment, leave, education/training, other activation, integration allowance, sickness benefit and different kinds of early retirement pay. The figure on average number of participants (full-time participants), is a volume measurement. The figures is comparable with the average number of full-time unemployed in the unemployment statistics., From June 2022 the statistics is extended to include persons receiving 'Early Pension", 'Senior Pension' and 'Adult apprenticeship support'. From March 2025 and again from September 2025 the statistics on sickness benefit recipients is changed., Read more about statistical presentation, Statistical processing, All data necessary for the statistics is collected from administrative registers. The data is collected through SAS-files and FTP-servers. When the data files are collected we make a preliminary validation of each file. Afterwards the data is loaded in the database (PSD) on a uniform format. After that illegal overlapping time periods where the same person is receiving different conflicting public benefits are eliminated before the total data amount is transmitted into a 'production database' from where the statistics is published., Read more about statistical processing, Relevance, 'Users': Municipalities, regions, ministries, organizations and the media. 'Fields of application': Public labour market surveillance. There has not been any actual 'satisfaction-examination' carried out, but the general use of the statistics, media, has always been considerable, and the statistics is expected to be an important part of the future 'Labour market account' (AMR), which is going to be released in the spring 2015., Read more about relevance, Accuracy and reliability, All data necessary for the statistics is collected from administrative registers. The statistics cover the population aged 16-64 who is receiving some sort of public benefits. Conflicting and erroneous information about each individual person may frequently occur as the statistics are compiled from a variety of administrative registers. Examples are a person who is regarded as both a recipient of cash benefits and as a person entitled to claim unemployment benefits, or a person participating in several activation schemes at the same time, which exceed 37 hours per week, or a person participating in the same activation over an unrealistic long period of time. The main reason for these errors is that the respondents fail to update the existing data as soon as new data is available. Error correction is some times undertaken by Statistics Denmark on the basis of logical requirements and some times by the respondents themselves. However, the best possible solution is for error correction to be undertaken by the respondents themselves. The municipalities report data on persons entitled to claim cash benefits and similar allowances in various ways. Currently there is no estimates/numbers available on the total statistical errors., Read more about accuracy and reliability, Timeliness and punctuality, The quarterly statistics is published roughly 80 days after the end of the reference quarter and the yearly statistics is published roughly 100 days after the end of the reference year. The exact release dates are advertised a year ahead., Read more about timeliness and punctuality, Comparability, The current statistics on persons receiving public benefits covers in general the time period from the 1. of January 2007 and onwards. Persons receiving ordinary education (SU-modtagere) is only included from the 1. of January 2008 and onwards. From 2006 to 2007 there are some differences in the covering and in the concepts. However, some time series in the stat bank starts back in the first quarter of 1994. The general comparability is reduced by the many changes in the measures over time. When the statistics is based on a number of national administrative registers it is obviously very difficult to make any international comparisons. However, Eurostat has tried to make some international comparisons in the area of participants/expenditures on some sorts of public benefits through their Labour Market Policy (LMP)-database., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release and in the StatBank under , Persons below the state pension age on public benefits, . For more information please see the subject page for , Persons receiving public benefits, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/persons-below-the-state-pension-age-on-public-benefits

Documentation of statistics

Documentation of statistics: Labour Force Survey (LFS)

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

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

Documentation of statistics

Documentation of statistics: Road Traffic Accidents

Contact info, Population and Education, Social Statistics , Jørn Korsbø Petersen , +45 20 11 68 64 , JKP@dst.dk , Get documentation of statistics as pdf, Road Traffic Accidents 2021 , Previous versions, Road Traffic Accidents 2020, Road Traffic Accidents 2019, Road Traffic Accidents 2018, Road Traffic Accidents 2017, Road Traffic Accidents 2015, Road Traffic Accidents 2014, Road Traffic Accidents 2013, The purpose of the statistics is to collect and publish information on road traffic accidents in order to create a basis of knowledge for making decisions that can reduce the number of road traffic accidents and the consequences thereof. The statistics on road traffic accidents originate from 1 January 1930. The source of the statistics has until 1 January 2003 been the temporary and final reports from the police. From this date Statistics Denmark only receives an annual extract from the Road Directory with the police's final reports. Apart from this, the most fundamental alterations that have been introduced concern the classification of accidents, the scope of the statistics and the actual reporting procedures., Until 1938, the classification of accidents was not unambiguous. From 1938 to 1966, accidents were categorized according to the main cause of the accident, which was determined by a legal judgement. From 1967 onwards, this judgement has been replaced by a classification of the accident, which is not based on the concept of blame, but on the actual description of the circumstances surrounding the accident., From 1930 to 1958, the statistics included accidents resulting in personal injury as well as damage to property. Since 1958, accidents involving only damage to property are no longer covered by the statistics, and from 1967 accidents involving only pedestrians are no longer covered either, whether the accident resulted in a casualty or not., Up until and including 1975, the police reports were sent straight to Statistics Denmark. In 1976, the reporting system was expanded, so that the highway authorities in counties and municipalities take part in the reporting by locating the accidents. As from November 1997 and up to and including April 2000, a new system of computerized reporting was gradually introduced in the police., Since 1 January 2003 the police reports have been sent to the Road Directorate from whom Statistics Denmark receives an annual extract., Statistical presentation, The statistics on road traffic accidents illustrate the extent and the nature of all accidents involving casualties, who are known by the police. The information on road traffic accidents is classified into three main groups: information about the accident, information about the element (vehicles, pedestrians and obstacles) and information about the person., Read more about statistical presentation, Statistical processing, Annual extract from the Road Directorate, Road Accident Information System with information for all accidents with injured., The data is checked for errors. Only few corrections is made. No seasonally adjustment is made., Read more about statistical processing, Relevance, National users: Ministries (primarily the Ministry of Traffic), the police districts, the highway authorities in counties and municipalities, organizations, research centers, the education system and private persons., Eurostat: The register is made anonymous and sent to Eurostat, as input for the Community Database on Accidents on the Roads in Europe (CARE)., Area of application: Local and central planning aimed at reducing road traffic accidents, education, research and public debate., Read more about relevance, Accuracy and reliability, A general problem concerning the road traffic accident statistics is that they do not include accidents involving casualties, which are not reported to the police. The severity of the accident and the mode of transport are factors, which influence whether the police are involved. Examinations - pooling with the Register of Causes of Death and with registries of casualty award visits and hospital admissions caused by road traffic accidents - have proven that almost all accidents involving deaths are reported. Accidents involving serious personal injury are more frequently reported than accidents involving only slight injuries. Furthermore, accidents involving cars are more frequently reported than accidents involving bicycles and mopeds. In average only 20 per cent of the casualties come to the knowledge of the police. Results of the pooling with registries of casualty award visits can be found in the table MOERKE in , Statbank, ., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are usually published without delay in relation to the scheduled date - ult. June after the year after., Read more about timeliness and punctuality, Comparability, These include changes in the registration of road traffic accidents resulting in inconsistencies of data as well as the introduction of new variables. Since 1958, accidents involving only damage to property have been omitted from the statistics. In January 1967, the definition of road traffic accident involving casualties was changed to include only accidents involving at least one vehicle. This leaves out accidents involving only pedestrians. From January 1967, the classification of accidents according to main and secondary causes was changed to a classification according to the accident situation, based on an objective evaluation of the course of events leading up to the accident. In January 1981, the definition of slightly injured was changed. Minor bruises, scrapes and the like are no longer considered as slight injuries. In January 1983, the structure and contents of the statistical system were changed. New parameters - e.g., cycle paths, collision point, maneuver concerning the element record, and on driving license and moped license - were introduced. From January 1997, individuals who are admitted to hospital for observation due to concussion should be registered as slightly injured in cases where the diagnosis does not turn out to be concussion of the brain., Legal changes, such as the introduction of and changes to speed limits and limits for level of alcohol in the blood, and requirements concerning the use of seat belts, helmets, child seats, lights, etc., can influence the overall development in the road traffic accident statistics., Read more about comparability, Accessibility and clarity, Statistics appear in:, News from Statistics Denmark., Annual publications: , Statistical Yearbook, Statistical 10-Year Review, and , Færdselsuheld, (Road Traffic Accidents)., Statbank, .Transport, Traffic accidents: UHELD1, UHELDK1, UHELD2, UHELDK2, UHELD3, UHELD4, UHELD5, UHELD6, UHELD7, UHELDK7, UHELD8, UHELD9, UHELD10, UHELD11, UHELD12, UHELD13, MOERKE., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/road-traffic-accidents

Documentation of statistics