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Documentation of statistics: Recidivism

Contact info, Population and Education, Social Statistics , Iben Birgitte Pedersen , +45 23 60 37 11 , ipe@dst.dk , Get documentation of statistics as pdf, Recidivism 2023 , Previous versions, Recidivism 2022, Recidivism 2021, Recidivism 2020, Recidivism 2019, Recidivism 2018, Recidivism 2017, Recidivism 2014-2016, Recidivism 2013-2015, Recidivism 2012-2014, Recidivism 2011-2013, Recidivism 2010-2012, The purpose of Recidivism is to analyze the extent of new criminality among persons who have been released after serving in jail or have received a guilty decision during a calendar year., The statistics on Recidivism was made up the first time for persons released or convicted in 2007 and has hereafter been produced annually., Statistical presentation, The statistics on recidivism form part of the criminal statistics. The criminal statistics include statistics on criminal cases as reported criminal offences, victims of reported criminal offences, imprisonments and convictions., The statistics shed light on new criminality among people who have been released after serving in jail or have received a guilty decision during a year. The extent and type of new crimes committed during a follow-up period of two years are calculated. , Furthermore, information on level of education and the extent of criminality the five years previous to the actual year form part of the statistics., Read more about statistical presentation, Statistical processing, The source to the statistics are data from other statistical registers operated by Statistics Denmark. Data from the registers are delivered yearly via System-to-system-transmission. Data are already validated. However, central variables go through a probability check in form of a comparison with data from the previous year. Data about decisions, charges and admissions to prisons from Statistics Denmark's criminal statistical registers are linked to data from Statistics Denmark's register of the population's highest level of education and Statistics Denmark's register of Populations Statistics., Read more about statistical processing, Relevance, Statistikken bliver anvendt bredt af myndigheder, organisationer, forskere, pressen mv. Tabellerne i Statistikbanken er hyppigt anvendt. Fremsatte synspunkter og ønsker fra centrale brugere tages i betragtning ved udarbejdelse af statistikken., Read more about relevance, Accuracy and reliability, The statistics on recidivism is based on other of Statistics Denmark's statistical registers where the reliability is considered to be good. However, the number of emigrants is assessed to be under-estimated with 15-20 percentages. The statistics include persons who are registered with a decision in the central criminal register at the time the extract to Statistics Denmark is done. A number of decisions made during the calendar year will happen not to be registered at that time. That implies that the total number of persons in the defined population presumably is under-estimated., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 1 year and 9 months after the end of the reference period. The punctuality is very high as the statistics usually are published without delay in relation to the scheduled time., Read more about timeliness and punctuality, Comparability, Since 2007, the statistics has been prepared on the same date source. In general the statistics is therefore comparable during time., Some of the published data are not available for all years., No international comparable statistics are available., Read more about comparability, Accessibility and clarity, The statistics on convictions are published in: , News from Statistics Denmark, , the publication , Kriminalitet (Criminality), and in , StatBank, ., At Statistics Denmark's webpage the statistics furthermore are presented on its , Subject Page, ., Taylor made statistics can be prepared on bases of the ready-made files. Through Statistics Denmark's Division of Research Service it is possible for researchers to be granted access to anonymized data., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/recidivism

Documentation of statistics

Documentation of statistics: Government deficit and debt in the EU-countries

Contact info, Government Finances, Economic Statistics , Jesper Lillebro Feddersen , +45 20 51 61 92 , JEF@dst.dk , Get documentation of statistics as pdf, Government deficit and debt in the EU-countries 2024 , Previous versions, Government deficit and debt in the EU-countries 2023, Government deficit and debt in the EU-countries 2022, Government deficit and debt in the EU-countries 2021, Government deficit and debt in the EU-countries 2020, Government deficit and debt in the EU-countries 2019, EMU-Deficit and EMU-Debt in Denmark and Government Deficit and Debt in the EU 2018, EMU-Deficit and EMU-Debt in Denmark and Government Deficit and Debt in the EU 2017, EMU-Deficit and EMU-Debt in Denmark and Government Deficit and Debt in the EU 2016, EMU-Deficit and EMU-Debt in Denmark and Government Deficit and Debt in the EU 2015, EMU-Deficit and EMU-Debt in Denmark and Government Deficit and Debt in the EU 2014, EMU-Deficit and EMU-Debt in Denmark and Government Deficit and Debt in the EU 2013, EMU-debt and EMU-deficit (Government deficit and debt) is the statistical data required for the excessive deficit procedure (EDP) in the Economic and Monetary Union in according to the Maastricht Treaty and Stability- and Growth Pact. The EU-Commission uses the statistics to monitor and examine the development of the budgetary situation and government debt in Denmark in accordance with the Maastricht Treaty convergence criteria. The Compilations are based on the European System of Accounts (ESA2010). However, on some points they differ from ESA2010, e.g. on the valuation of debt, which is at nominal value., Statistical presentation, The compilation of consolidated gross debt at nominal value for general government is sometimes referred to as EMU-debt/government debt. The deficit is sometimes referred to as the EMU-deficit/government deficit. Government deficit and debt in EU was first published in spring 2003. Covering data on ESA2010 back from 2010, at the moment. Danish Government deficit and debt was first published in fall 2004. Covering data on ESA2010 back from 2000., Read more about statistical presentation, Statistical processing, Main sources are balance sheets and income statements from the central government, regions and municipalities and and social security funds. Frequency of data collection is Semi-annual and quarterly. Because of the number of consistency checks and data confrontations facilitated by the system of accounts. Further more Eurostat/EU-commission assess the quality of EDP-data by a detailed inventory, a clarificationproces after the notifications and by standard dialogue and upstream visits every second year., Read more about statistical processing, Relevance, High., Read more about relevance, Accuracy and reliability, The government deficit and debt is based on accounts figures for the whole general government sector that have a very limited degree of inaccuracy. , The statistical uncertainty is not calculated. , The overall accuracy is considered to be relatively high., Read more about accuracy and reliability, Timeliness and punctuality, Debt: End of the quarter and end of the year., Deficit: Current year., The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, Government EMU-debt is to a certain degree comparable with quarterly financial accounts for general government since both statistics are based on the sectors and instruments defined in ESA2010. The primary differences are: Government EMU-debt is based on nominal values, while quarterly financial accounts for General Government are based on market values., In a similar way, Government Deficit is comparable with the national accounts compilations of net-lending for General Government in the so called March- and June-versions., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release and in the StatBank under , EMU debt and EMU balance, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/government-deficit-and-debt-in-the-eu-countries

Documentation of statistics

Documentation of statistics: National Accounts: Annual

Contact info, National Accounts, Climate and Environment, Economic Statistics , Christina Just Brandstrup , +45 21 45 52 79 , CJB@dst.dk , Get documentation of statistics as pdf, National Accounts Annual 2024 , Previous versions, National Accounts 2023, National Accounts 2022, National Accounts 2021, National Accounts 2020, National Accounts 2019, National Accounts 2018, Annual national accounts, total economy 2017, Annual national accounts, total economy 2016, Annual national accounts, total economy 2015, Annual national accounts, total economy 2014, Annual national accounts, total economy 2013, The national accounts are a description of a country's economy and its development. It consists of a description of the economy as whole and the economic transactions between individuals, companies and institutions. The national accounts also include transactions between Denmark and abroad. The first Danish national accounts date back to the 1930's. Consistent time series of annual national accounts goes back to 1966, while quarterly national accounts are available as of first quarter 1990., Statistical presentation, The National Accounts provide an overview of the activities and developments in the Danish economy. The statistics include figures for economic aggregates such as gross domestic product (GDP), household consumption, government finances, investment, export and import, employment and wages, and profits and productivity in the various industries. In addition, there are figures for the many subdivisions that can illuminate different 'sections' throughout the Danish economy., Read more about statistical presentation, Statistical processing, Virtually all available economic statistics are applied as data sources when making the national accounts. When the first version for a given period is prepared, it takes place before all information about the period is available. Then the calculations are made on the basis of the structure of the latest final national accounts, which is projected with indicators from, for example, cyclical statistics. When new sources are ready, they are continuously incorporated into the national accounts according to a fixed rhythm. Three years after a given period, the national accounts are considered to be final., Read more about statistical processing, Relevance, The National Accounts are relevant to anyone involved in economic matters ranging from the economic ministries use of the National Accounts in planning, analysis, forecasting and modeling purposes for industry organizations and other similar organizations, to the general interest in knowledge of the economy’s structure and development. The National Accounts division is evaluating feedback from users at an ongoing basis., Read more about relevance, Accuracy and reliability, The ability of the National Accounts to describe the economic reality accurately partly depends on the uncertainty associated with the sources and partly on the model assumptions underlying the calculation of the national accounts. Some parts can be calculated more accurately than others, as there is better access to source data. The first versions for a period's national accounts will be more uncertain than the final version, which comes after three years, as new sources are continuously revised., Read more about accuracy and reliability, Timeliness and punctuality, The first version of the quarterly national accounts is published 50 days after the end of the quarter. In connection with the publication of the fourth quarter at the end of February, the first version of the annual national accounts is also published. Almost two and a half years after the end of the year, the final annual and quarterly national accounts are published in June. The national accounts are published in a timely manner., Read more about timeliness and punctuality, Comparability, The national accounts are prepared in accordance with international guidelines and will therefore be comparable across countries. The current guidelines were implemented in 2014 and are used to revise the national accounts back to 1966. The national accounts reflect all parts of the economy, so most economic statistics contain figures that have their counterparts in the national accounts. However, be careful to compare figures from the national accounts with other economic statistics, as the transition is often complicated by different definitions and requirements for coverage. However, the national accounts are in full compliance with the balance of payments and government finance statistics., Read more about comparability, Accessibility and clarity, The National Accounts statistics are published in the StatBank under , Economy, and , National accounts, . The publications are accompanied by Danish press releases., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/national-accounts--annual

Documentation of statistics

Documentation of statistics: Household Budget Survey

Contact info, Prices and Consumption, Economic Statistics , A Solange Lohmann Rasmussen , +45 61 15 17 93 , slr@dst.dk , Get documentation of statistics as pdf, Household Budget Survey 2023 , Previous versions, Household Budget Survey 2022, Household Budget Survey 2021, Household Budget Survey 2020, Household Budget Survey 2019, Household Budget Survey 2018, Household Budget Survey 2017, Household Budget Survey 2016, Household Budget Survey 2015, Household Budget Survey 2014, Household Budget Survey 2013, The Household Budget Survey describes in detail the Danish households' expenditure on goods and services and the economic condition of the households. The statistics are used to compile weightings in the Consumer Price Index and for calculation of the private consumption in the National Accounts. The statistics were first compiled in 1897 and annually since 1994., Statistical presentation, The Household budget survey is an annual statement of the detailed private consumption at household level for private households in Denmark. The survey covers private households in Denmark. The household budget survey provides a detailed breakdown of consumption. In the most detailed breakdown, consumption is divided into approx. 1,200 different consumption types., Read more about statistical presentation, Statistical processing, The survey is based on a sample where the number of households accounts for about 2,200 out of Denmark's total of approximately 2.8 million households. , The survey included data from three different data sources: Accounting booklets, CAPI interviews and data from registers. In this way the sample can give results which are good approximations for all private households. The data from the 3 different sources are validated. We are constantly looking at how we can improve and compile the statistic in a more efficient way., Data is collected annually from approximately 1,100 households and the sample for one years household budget survey is based on the sample from two years. All expenses, income, etc. are converted to the price and volume level of the end year., Read more about statistical processing, Relevance, In addition to the general public the Household Budget Survey has a wide application. Internally in Statistics Denmark during the compilation of national accounts and price indexation. Public authorities' planning and feasibility studies, etc. Internationally, where especially EUROSTAT is very active in order to establish comparable figures between countries. Research in a number of areas, as well as for marketing purposes., Read more about relevance, Accuracy and reliability, With only 12 pct. of the households who have been contacted participating in the Household Budget Survey. This creates uncertainty, not least for detailed consumer groups. For total consumption, this means that there is an uncertainty margin of +/- 1.8 per cent. while that for that for bread is 2 per cent. and 24 per cent. for a rarely purchased item such as offal. There is underreporting in a number of areas such as alcohol, tobacco, prostitution and undeclared work. The uncertainty is greater when data is based on accounting rather than interviews, and it will be greater if one looks at smaller subgroups of households., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately12 months after the end of the reference year. The statistics are usually published according to the time announced. , Read more about timeliness and punctuality, Comparability, The Household Budget Survey is carried out in accordance with guidelines from the European Statistical Office, Eurostat. Comparable figures are published by Eurostat. Since 1994, the survey has been methodologically redesigned, so it is now conducted annually using the same method and on a comparable basis., Data for the period 2014 to 2022 were based on a two-year sample and the ECOICOP nomenclature. To ensure comparability over time, data for 1994 to 2013 were recalculated according to this nomenclature in both current and constant prices., From 2023, COICOP2018 has been implemented in the Household Budget Survey as the survey has become subject to a regulation. Therefore, data for 2015–2022 have been recalculated in current and constant prices according to COICOP2018 to ensure continuity., Read more about comparability, Accessibility and clarity, The Danish Household Budget Survey is published in a Danish press release, at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under , Household Budget Survey, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/household-budget-survey

Documentation of statistics

Documentation of statistics: Construction Cost Indices for Civil Engineering Projects

Contact info, Prices and Consumption, Economic Statistics , Peter Fink-Jensen , +45 21 34 76 92 , PFJ@dst.dk , Get documentation of statistics as pdf, Construction Cost Indices for Civil Engineering Projects 2025 , Previous versions, Construction Cost Indices for Civil Engineering Projects 2024, Construction Cost Indices for Civil Engineering Projects 2023, Construction Cost Indices for Civil Engineering Projects 2022, Construction Cost Indices for Civil Engineering Projects 2021, Construction Cost Indices for Civil Engineering Projects 2020, Construction Cost Indices for Civil Engineering Projects 2019, Construction Cost Indices for Civil Engineering Projects 2018, Construction Cost Indices for Civil Engineering Projects 2017, Construction Cost Indices for Civil Engineering Projects 2016, Construction Cost Indices for Civil Engineering Projects 2015, Construction Cost Indices for Civil Engineering Projects 2014, The Construction cost indices for civil engineering projects show the trends in prices for construction of civil engineering projects in Denmark. It is used, among other things, for regulation of building contracts, and for following the economic conjuncture in the construction industry. The statistics have been compiled in various forms since 1959, but in its current form the indices for earth work, asphalt work, concrete structures, and iron structures are comparable from 1976 and onwards. The index for roads is comparable from 1996 and onwards., Statistical presentation, The Construction cost indices for civil engineering projects shows trends in prices for work performed by different contractors in civil engineering projects: Earth work, asphalt work, concrete structures, iron structures, operating index, and sub-indices for Freight transport by road, and Equipment and machinery. Trends in costs for construction of roads are also monitored based on a weighing of indices for earthwork, asphalt work, concrete structures and iron structures., Read more about statistical presentation, Statistical processing, The indices are calculated on the basis of information from the Standardised index of average earnings, Price index for domestic supply, the Producer price index for services, and Net price index., For all indices, sub-indices for labor costs and main cost groups are calculated. These sub-indices are weighed together to form the main indices. The weights reflect the shares of labor costs, material costs and equipment costs of the total costs of performing civil-engineering projects. The weights are based on an analysis of actual, completed civil engineering projects., Read more about statistical processing, Relevance, The purpose of the Construction cost indices for civil engineering projects is to reflect the development in the costs of civil-engineering projects. It is mainly used for regulation of building contracts. The indices are utilized primarily by construction organizations, contractors, building owners, craftsmen, lawyers and public authorities., Read more about relevance, Accuracy and reliability, Overall the statistics are assessed to be representative for the general trends in costs of civil engineering projects in Denmark. The weight basis is based on an analysis of actual civil engineering projects. Changes in the typical use of materials, unusual price developments etc. may therefore affect the index' accuracy. The weight basis was last updated in 2025 with 2021 as reference period and is deemed representative for typical civil engineering work., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published quarterly approximately 70 days after the end of the quarter, i.e. at the beginning of March (4th quarter), June (1st quarter), September (2nd quarter) and December (3rd quarter). Yearly statistics (four quarter averages) are also published in connection with the 4th quarter publication. The statistics are usually published without delay in relation to the scheduled date. , Read more about timeliness and punctuality, Comparability, The first cost index for road fund work was compiled for March 1959 and the index for motorway work was compiled for the first time for March 1967., The indices have since then changes both weights and calculation method several times, thus they are not directly comparable over time when going back to 1959., The Norwegian statistical agency /(Statistics Norway) produce a cost index for road construction which is comparable to the Danish indices., Read more about comparability, Accessibility and clarity, These statistics are published i StatBank Denmark under the subject , Indices for the construction sector, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/construction-cost-indices-for-civil-engineering-projects

Documentation of statistics

Documentation of statistics: Highest Education Attained

Contact info, Population and Education, Social Statistics , Alexander Pfeiffer Cappelen , +45 23 63 72 52 , APF@dst.dk , Get documentation of statistics as pdf, Highest Education Attained 2024 , Previous versions, Highest Education Attained 2023, Highest Education Attained 2022, Highest Education Attained 2021, Highest Education Attained 2020, Highest Education Attained 2019, Highest Education Attained 2018, Highest Education Attained 2017, Highest Education Attained 2016, Highest Education Attained 2015, Highest Education Attained 2014, Highest Education Attained 2013, The purpose of the statistics on educational attainment is to give an overall statistical description of the educational level of the population at any given time. The primary data source to these statistics is the Student Register with data from 1970 onwards. In addition, the Qualification Register is used. Since the Student Register is the primary source for information, the Attainment Register gives nearly complete coverage from 1970 onwards. There is, however information before this time coming from The Qualification Register., Statistical presentation, The Attainment Register gathers information about the highest completed education for each single person based on the information in the Student Register and the Qualification Register. It is a longitudinal register based on an assessment of each person's education "career" and shows how the qualification career develops over time. The register is formed by interpreting the qualification career (skills in chronological order) in order to determine a change in the skill level. Once a year a status register is also produced with the population and information about education the 30. September the current year., Read more about statistical presentation, Statistical processing, The Attainment Register is a longitudinal register based on a assessment of each persons education career in The Student Register and The Qualification Register. It shows how the qualification career develop over time, and it is updated once a year. The status register is produced on the basis of the longitudinal register and contains information about the population and their highest completed education per. September 30 the given year., Read more about statistical processing, Relevance, There is a great variety of users. The information is generally used in connection with describing the population or sections hereof. The register is used in connection with status reports for other statistical fields. Data reports are thus submitted for (mainly on the population's highest level of education completed) a wide number of integration registers operated by Statistics Denmark. Furthermore, the register is frequently used in connection with external service activities order by Danish ministries, municipalities, research institutions, professional organization, private enterprises, private individuals and, not least, requests made by the news media., Read more about relevance, Accuracy and reliability, The Accuracy and reliability vary depending on the source of information. More than 80 pct. of the information comes from administrative sources, such as student systems of educational institutions, which are highly reliable. These sources have priority one when the registry is created and will be used if there is information from one of these sources. Other sources are not so closely linked to the education programs and will often be less reliable. Examples of these sources are the surveys of immigrants' education and the population and housing census in 1970, based on self-reported education. In addition, information is imputed for persons who do not respond in the study of immigrants' education. The imputed data is useful in overall statistical statements, but cannot be considered as valid information on individuals' educational attainment. , In connection with the annual reports from the education institutions there is information which also relate to previous years. These delayed notifications concern particularly the last year., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published around 6 months after the end of the reference time. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The longitudinal register is produced once a year and the entire period is thus calculated in the same way. Based on the longitudinal register, a status register is produced with the population per. September 30 that year. In the event of significant changes in the way the longitudinal register is produced, the status registers for all years will be reproduced. It happens that an education changes level from one year to the next. Typically, this will not cause a reproduction of all the status registers and therefore affect comparability over time. Labor force survey provide information too Eurostat about the educational attainment level and this is these figures that are used for international comparison of the attainment level., Read more about comparability, Accessibility and clarity, Statistics are published once a year in "News from Statistics Denmark" . At the same time data are released in the Statbank and on the homepage: , Homepage, Information also appears in the annual publications Statistical 10-Year Review and the Statistical Yearbook., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/highest-education-attained

Documentation of statistics

Documentation of statistics: Purchasing Power Parities (PPP)

Contact info, Prices and Consumption, Economic Statistics , Zdravka Bosanac , +45 61 15 16 74 , ZBO@dst.dk , Get documentation of statistics as pdf, Purchasing Power Parities (PPP) 2025 , Previous versions, Purchasing Power Parities (PPP) 2024, Purchasing Power Parities (PPP) 2023, Purchasing Power Parities (PPP) 2022, Purchasing Power Parities (PPP) 2021, Purchasing Power Parities (PPP) 2020, Purchasing Power Parities (PPP) 2019, Purchasing Power Parities (PPP) 2018, Purchasing Power Parities (PPP) 2017, Purchasing Power Parities (PPP) 2016, Purchasing Power Parities (PPP) 2015, Purchasing Power Parities (PPP) 2014, PPP tells how many currency units a given amount of goods and services cost in different countries. The statistics are used, among other things, to convert countries' gross domestic product (GDP) into comparable figures and for analyses of expenditure levels. Denmark has participated in the work on purchasing power parities since the 1970s, but the statistics in their current form are comparable from 2000 onwards., Statistical presentation, Purchasing power parities (PPP) is an annual price level indicator which expresses the price level in a given country at a given time, relative to the price level in one or more countries. This means that PPP for a particular country indicate how many units of national currency are needed in that country to maintain the purchasing power of €1 in the EU. PPP can be calculated for individual products or aggregates, such as GDP., Read more about statistical presentation, Statistical processing, Price surveys are conducted in order to provide price input data for household consumption, individual government consumption, collective consumption and gross fixed capital formation (investment goods and services). Reference (imputed) PPPs are used for NPISH consumption, inventories, and net exports., Read more about statistical processing, Relevance, The EU Commission uses GDP per capita PPP converted, as basis for allocating funds from the Structural Fund to reduce the financial inequalities among and within the 27 EU Member States. Furthermore, indicators derived from PPPs are used for a wide range of analytic purposes, often providing background information for policymaking in the European institutions, in international organizations like the International Monetary Fund and the World Bank, and in national governments., Read more about relevance, Accuracy and reliability, In the price surveys, the most important source of statistical margins of sampling errors is the range of goods and services, which are not equally representative of all countries included in the international comparisons. The composition of consumption expenditure differs among countries, and this gives rise to potential conflicts between representativeness and data comparability. For some areas, e.g. health it is particularly difficult to provide comparable information. The structure of the health sector differs among countries, and there are no "pure" market prices for these services, which constitutes another statistical margin of sampling error. The margins of sampling errors are not estimated., Read more about accuracy and reliability, Timeliness and punctuality, Provisional results from the surveys of purchasing power parities are published one year after the reference period, whereas the final results are published three years after the reference period. The statistics are usually published without any delay in relation to the scheduled date of publication., Read more about timeliness and punctuality, Comparability, Purchasing power parities are compiled for the purpose of conducting price and volume comparisons for a specific year among countries. Consequently, they are comparable across the participating countries. Comparisons over time must be interpreted with caution, as the basket of goods and services differs from one year to another., In the calculation of PPP, price level index and volume index, the average of EU28 was used as a reference country (group of countries) until 2020. With the United Kingdom's withdrawal from the European Union (EU), the EU27 (excluding the UK) = 100 will be used as a reference country (group of countries) from 2020. This has only a minor impact on the comparability of PPPs, the price level index and the volume index between 2019 and 2020. Results for 2024, published in December 2025 are presented in accordance with the new COICOP 2018 classification for product groups., Read more about comparability, Accessibility and clarity, These statistics are published annually in a Danish press release, at the same time as the tables are updated in the statbank. In the statbank, these statistics can be found under , International volume and price comparision, . Internationally, these statistics are available through , OECD, , , Eurostat, and , Nordic Statistics database, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/purchasing-power-parities--ppp-

Documentation of statistics

Documentation of statistics: Producer and Import Price Index for Commodities

Contact info, Prices and Consumption, Economic Statistics , Nicklas Milton Elversøe , +45 61 15 35 98 , nel@dst.dk , Get documentation of statistics as pdf, Producer and Import Price Index for Commodities 2025 , Previous versions, Producer and Import Price Index for Commodities 2024, Producer and Import Price Index for Commodities 2023, Producer and Import Price Index for Commodities 2022, Producer and Import Price Index for Commodities 2021, Producer and Import Price Index for Commodities 2020, Producer and Import Price Index for Commodities 2019, Producer and Import Price Index for Commodities 2018, Producer and Import Price Index for Commodities 2017, Producer and Import Price Index for Commodities 2016, Producer and Import Price Index for Commodities 2015, Producer and Import Price Index for Commodities 2014, The statistics Producer and Import Price Index for Commodities show the price development of commodities in the first stage of transaction. The primary use is as deflators (converting nominal values to real values), but is also used as a business cycle indicator and for contract adjustments in the business sector. The index can be divided into Producer price index for commodities, Import price index for commodities and Price index for domestic commodities supply. The Price index for domestic supply of commodities can be traced back to 1876 and in the current form back to 1981. Producer Price Index for Commodities dates back to 2000 and Import Price Index for Commodities to 2005., Statistical presentation, The Producer and Import Price Index for Commodities contains monthly indices of the price development of commodities in the first stage of turnover (business-to-business), i.e. typically sales from producer to wholesaler or retailer, for commodities produced by Denmark for the domestic market and export, or for commodities imported into Denmark. The statistics are divided by product and industry groups., Read more about statistical presentation, Statistical processing, Approximately 7800 prices from selected producers and importers in Denmark. Of these, approximately 3800price reports for calculation of Producer Price Index for Commodities, approximately 3600 for calculation of Import Price Index for Commodities and approximately 5900 price reports are used to calculate the Price Index for Domestic Supply. The prices are validated automatically in connection with the collection. Unusually large price developments are subsequently checked manually. The validated price developments are then aggregated in a hierarchical system, where they are given weight according to their significance to the overall price index., Read more about statistical processing, Relevance, The Producer and Import price index for commodities serves as economic key figures, cyclical indicator, deflator and a contract regulations tool. The primary users of the statistics are the Danish National Accounts, business and stakeholders in the Danish economy. The statistics meet all the requirements of the EU in terms of industry coverage, aggregation level, frequency and publication date, etc., Read more about relevance, Accuracy and reliability, The prices covered by the data collection have a direct coverage of approximately 70 percent of total revenue in the Danish economy. Weights are based on the National Accounts product balances, which covers the main part of trading in the first stage of sales within the delimitation of the statistics. Sample units are selected on a purposive basis using a top-down approach. As a random sampling method is not being utilised a subsequent assessment of sampling error is not enabled. , Published statistics are considered final. , Producer and import price index for commodities are not considered to have an increased uncertainty due to COVID-19. Data collection has been largely not impacted as a result of the crisis and subsequent non-response levels have remained at their historically low levels., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published on a monthly basis. The statistics for a given month are published on the 15th of the following month or the first business day thereafter. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, Statistics Denmark has calculated variations of this statistic since 1876. The Producer and import price index for commodities can be found as an unbroken monthly time series from 2005 to today. The statistics have been prepared according to international standards and can therefore be compared to similar statistics from other European countries., Read more about comparability, Accessibility and clarity, The statistics are published monthly by Statistics Denmark via press release ", Nyt fra Danmarks Statistik, " (in Danish only) and specifically regard Producer and Import Price Index for Commodities., In the StatBank, the statistics are published under the topic , Producer and import price index for commodities, . , For more information visit the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/producer-and-import-price-index-for-commodities

Documentation of statistics

Documentation of statistics: Consumer Price Index

Contact info, Prices and Consumption, Economic Statistics , Martin Sædholm Nielsen , +45 24 49 72 81 , MNE@dst.dk , Get documentation of statistics as pdf, Consumer Price Index 2025 , Previous versions, Consumer Price Index 2024, Consumer Price Index 2023, Consumer Price Index 2022, Consumer Price Index 2021, Consumer Price Index 2020, Consumer Price Index 2019, Consumer Price Index 2018, Consumer Price Index 2017, Consumer Price Index 2016, Consumer Price Index 2015, Consumer Price Index 2014, Documents associated with the documentation, Klassifikationskoder og beskriveler (pdf), Notat om forbruger-og nettoprisindekset i forbindelse med coronakrisen (pdf) (in Danish only), Weightings 2025 (xlsx), Vægtgrundlag 1991 til i dag (xlsx) (in Danish only), Vejledning til regulering med prisindeks (pdf) (in Danish only), Vægte 2021 og corona (pdf) (in Danish only), FPI-dokumentation - opdateret maj 2020 (pdf) (in Danish only), The purpose of the consumer price index is to measure the development of the prices charged to consumers for goods and services bought by private households in Denmark. The consumer price index has been calculated since 1914, but there are estimated figures for the development in consumer prices back to 1872. From January 1967 the index has been calculated on a monthly basis., Statistical presentation, The consumer price index shows the development of prices for goods and services bought by private households in Denmark. Thus, the index also covers foreign households' consumption expenditure in Denmark, but not Danish households' consumption expenditure abroad. The index shows the monthly changes in the costs of buying a fixed basket of goods, the composition of which is made up in accordance with the households' consumption of goods and services. The consumer price indices divided by group of households show the price development for different households. , The price indices for April, May, June, July, August, September, October, November, December 2020 and January, February, March, April, May and June 2021 are more uncertain than usual, as the non-response rate has been significantly larger than normal and some businesses have been shut down due to COVID-19., Read more about statistical presentation, Statistical processing, The consumer price index is calculated on the basis of 23,000 prices collected from approx. 1,600 shops, companies and institutions throughout Denmark. Most prices are by far collected monthly. The data material received is examined for errors, both by computer (using the so called HB-method) and manually. The different goods and services, which are included in the consumer price index, are first grouped according to approx. 500 elementary aggregates for which elementary aggregate indices are calculated. The elementary aggregate indices are weighted together into sub-indices that are in turn aggregated into the total consumer price index. In calculating a price index it is assumed that the baskets of goods that are compared are identical, also with respect to the quality of the goods. Mainly indirect quality adjustment methods are being applied in the consumer price index in connection with changes in the sample. , Read more about statistical processing, Relevance, The consumer price index is generally viewed as a reliable statistic based on the views of users., Important users are among others the Ministry of Finance, The Ministry of Economic Affairs and the Interior, The Danish Central Bank and private banks and other financial organizations., Read more about relevance, Accuracy and reliability, No calculation has been made of the uncertainty connected with sampling in the consumer price index as the sample is not randomly drawn, but the quality of the consumer price index is accessed to be high., In addition to the "general" uncertainty connected with sampling, there are a number of sources of potential bias in the consumer price index. One source is the consumers substitution between goods and shops and another source is changes in the sample (se chapter regarding "Non-sampling error")., Read more about accuracy and reliability, Timeliness and punctuality, The consumer price index is published on the 10th or the first working day thereafter, following the month in which the data was collected. , The statistics are published without delay in relation to the scheduled date., The consumer price indices divided by group of households are published twice a year., Read more about timeliness and punctuality, Comparability, The consumer price index is related to the European Union harmonized consumer price index (HICP) and to the index of net retail prices. From January 2001, the only difference between the national consumer price index and the HICP is the coverage of goods and services, as owner-occupied dwellings is only recorded in the consumer price index and not in the HICP. The consumer price index is also related to the index of net retail prices. The two indices comprise the same groups of goods and services and are calculated according to the same methodology. Consequently, the only difference between the two indices is the price concept used, as indirect taxes and VAT are subtracted in the index of net retail prices, and the weighting., Read more about comparability, Accessibility and clarity, These statistics are published monthly in a Danish press release and in the StatBank under , Consumer Price Index, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/consumer-price-index

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