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

      Contact info, Personal Finances and Welfare , Get documentation of statistics as pdf, Indices of Earnings for the Public Sector 2019 , Previous versions, Indices of Earnings for the Public Sector 2018, Indices of Earnings for the Public Sector 2017, Indices of Earnings for the Public Sector 2016, Indices of Earnings for the Public Sector 2015, Indices of Earnings for the Public Sector 2014, The purpose of the index is to indicate trends in wages paid in the public sector (central and local governments) analyzed by main sectors of economic activity. The index covers more or less all employees in the public sector, including salaried employees, apprentices and young employees under the age 18. Data are mainly extracted from the public pay transfer systems and refer to the second month in the quarter of interest. The published index is broken down by main sectors of economic activity (38-grouping of NACE rev. 2), and indicate trends in relation to the basic quarter (first quarter of 2005) and in relation to the same quarter of the previous year. Since the release of the third quarter of 2008 there has been a change in the base period of the index, which is now the first quarter of 2005., Statistical presentation, The index is based on information on wages obtained from more or less all employees in the public sector. Data are mainly extracted from the public pay transfer systems and refer to the second month in the quarter of interest. The published index is broken down by main sectors of economic activity (38-grouping of NACE rev. 2), and indicate trends in relation to the basic quarter (first quarter of 2005) and in relation to the same quarter of the previous year. , From the first quarter of 2013 a new delimitation regarding the categorizing of sectors (state, regional, municipal or private) came into force. The new sector delimitation now follows the same principles as the one applied for the national accounts. The previous delimitation of sectors is available until the fourth quarter of 2013. , This documentation of statistics relates to the index of average earnings with the base period 1. quarter of 2005=100. The documentation of statistics with the base period 1. quarter of 1995 is attached as an annex., Read more about statistical presentation, Statistical processing, Data are collected for more or less all persons employed in the public sector in Denmark and refer to the second month of the quarter in interest. Before production of the index is started, the data are roughly searched for errors. But there are also performed search for errors later in the process, e.g. by looking at the rate of increase in the average wages for each company or organisation. Each employment is given a weight after the share of hours worked in relation to a full-timer’s normal hours, which is used when adding observations to calculate the rate of increase for an enterprise or branch of economic activity., Read more about statistical processing, Relevance, Private enterprises and organizations in Denmark and abroad, and ministries and other public institutions are the most frequent users of the index. The index is especially used in relation to regulation of contracts. In addition to that, the index plays a vital part in the wage negotiations of employees in the public sector., Read more about relevance, Accuracy and reliability, Since the index is based on information on wages obtained from more or less all publicly employed persons through public pay transfer systems, the accuracy and reliability of the index is considered to be high. At the same time, there are some small uncertainties regarding the index which it is a good idea to be aware of when applying the index., Read more about accuracy and reliability, Timeliness and punctuality, The index of average earnings is published approximately 45 days after the end of the quarter in question. The punctuality of the publication is considered high and there has been no delays of any kind during the last years., Read more about timeliness and punctuality, Comparability, Improvements in the index are continuously being made. If major errors have been rectified, the index has, as far as possible, been revised back to the first quarter of 1995 when calculations of the index began. From the first quarter of 2013 a new delimitation of sectors (state, regional, municipal or private) has been applied. Hence causing a breach in the data between the fourth quarter of 2012 and the first quarter of 2013. , The index of average earnings in the public sector, is comparable and in many ways similar to the , index of average earnings for Corporations and Organisations, . Internationally, the index is to some degree comparable to wage indices of the public sector in other countries., Read more about comparability, Accessibility and clarity, These statistics are published in the Statbank under , Implicit index of average earnings, ., Read more about accessibility and clarity

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

      Documentation of statistics

      Documentation of statistics: Reported criminal offences

      Contact info, Population and Education, Social Statistics , Iben Birgitte Pedersen , +45 23 60 37 11 , IPE@dst.dk , Get documentation of statistics as pdf, Reported criminal offences 2025 , Previous versions, Reported criminal offences 2024, Reported criminal offences 2023, Reported criminal offences 2022, Reported Criminal Offences 2021, Reported Criminal Offences 2020, Reported Criminal Offences 2019, Reported Criminal Offences 2018, Reported Criminal Offences, Year 2017, Reported Criminal Offences, Year 2016, Reported Criminal Offences 2015, Reported Criminal Offences, Year 2014, Reported Criminal Offences, Year 2013, Documents associated with the documentation, Rape: Reported criminal offences 2024 (docx), Kriminalitetsstatistikkens grundbegreber og kilder (pdf) (in Danish only), The statistics analyze the number of criminal offences in violation of the criminal code and the special laws (except those contained in the Danish Road Traffic Act) to the police. The statistics on reported criminal offences date back to 1921. Until 1990, Statistics Denmark received monthly copies of the offence reports from the police for registration. Since 1 January 1990, Statistics Denmark has received data both quarterly and annually from the Central Register of Reported Offences, a register administered by the National Commissioner of the Danish Police., Statistical presentation, The statistics show the number of offences of criminal code and special laws/legislation reported to the police or discovered by the police itself., The statistics on reported criminal offences form part of the Danish System of Criminal Statistics. The System of Criminal Statistics includes data on criminal cases from the reported offences and charges to the convictions plus arrests and imprisonments., Read more about statistical presentation, Statistical processing, The source of the statistics is The Central Register of Reported Criminal Offences - administered by the National Commissioner of the Danish Police. Data are delivered yearly via System-to-system transmission., The data go through a probability check in form of a comparison with data from the previous year, key variables are checked for valid values and irrelevant offences are deleted., Read more about statistical processing, Relevance, The statistics are used broadly by the authorities, organizations, researchers, the press etc. The tables in the statbank.dk are used frequently. Views and suggestions from key users are taken into consideration in the preparation of the statistics., Read more about relevance, Accuracy and reliability, The accuracy of the statistics on reported criminal offences is considered to be good. The data come from a single administrative register system storing information on all reported crimes. Analyses have shown that approximately 5 percentages of the crimes registered in a calendar year, are committed in an earlier year. Corresponding approximately 5 percentages of all crimes reported committed in a calendar year are not registered until a following year. The statistics do not include information on the hidden criminality, i.e. committed criminal offences not reported to the police., Read more about accuracy and reliability, Timeliness and punctuality, The publishing time for the statistics is about 2 months. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The statistics have been prepared on the same basis since 1990. Due to changes in the grouping of the criminal offences and changes in the 'clear-up-concept' caution should be shown by comparing figures over time before this year., Eurostat collects annual data from the member states on reported criminal offences and publishes statistics based on this. However, according to the Eurostat metadata, the range of items included in the different groups of crime differs between countries and comparisons based upon absolute figures are therefore misleading., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release. In the StatBank, these statistics can be found under , Reported criminal offences, . For further information, go to the , subject page, . , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/reported-criminal-offences

      Documentation of statistics

      Documentation of statistics: Reported Criminal Offences (Quarterly)

      Contact info, Population and Education, Social Statistics , Iben Birgitte Pedersen , +45 23 60 37 11 , ipe@dst.dk , Get documentation of statistics as pdf, Reported Criminal Offences (Quarterly) 2025 Quarter 4 , Previous versions, Reported Criminal Offences (Quarterly) 2025 Quarter 3, Reported Criminal Offences (Quarterly) 2025 Quarter 2, Reported Criminal Offences (Quarterly) 2025 Quarter 1, Reported Criminal Offences (Quarterly) 2024 Quarter 4, Reported Criminal Offences (Quarterly) 2024 Quarter 3, Reported Criminal Offences (Quarterly) 2024 Quarter 2, Reported Criminal Offences (Quarterly) 2024 Quarter 1, Reported Criminal Offences (Quarterly) 2023 Quarter 4, Reported Criminal Offences (Quarterly) 2023 Quarter 3, Reported Criminal Offences (Quarterly) 2023 Quarter 2, Reported Criminal Offences (Quarterly) 2023 Quarter 1, Reported Criminal Offences (Quarterly) 2022 Quarter 4, Reported Criminal Offences (Quarterly) 2022 Quarter 3, Reported Criminal Offences (Quarterly) 2022 Quarter 2, Reported Criminal Offences (Quarterly) 2022 Quarter 1, Reported Criminal Offences (Quarterly) 2021 Quarter 4, Reported Criminal Offences (Quarterly) 2021 Quarter 3, Reported Criminal Offences (Quarterly) 2021 Quarter 2, Reported Criminal Offences (Quarterly) 2021 Quarter 1, Reported Criminal Offences (Quarterly) 2020 Quarter 4, Reported Criminal Offences (Quarterly) 2020 Quarter 3, Reported Criminal Offences (Quarterly) 2020 Quarter 2, Reported Criminal Offences (Quarterly) 2020 Quarter 1, Reported Criminal Offences (Quarterly) 2019 Quarter 4, Reported Criminal Offences (Quarterly) 2019 Quarter 3, Reported Criminal Offences (Quarterly) 2019 Quarter 2, Reported Criminal Offences (Quarterly) 2019 Quarter 1, Reported Criminal Offences (Quarterly) 2018 Quarter 4, Reported Criminal Offences (Quarterly) 2018 Quarter 3, Reported Criminal Offences (Quarterly) 2018 Quarter 2, Reported Criminal Offences (Quarterly) 2018 Quarter 1, Reported Criminal Offences (Quarterly) 2017 Quarter 4, Reported Criminal Offences (Quarterly) 2017 Quarter 3, Reported Criminal Offences (Quarterly) 2017 Quarter 2, Reported Criminal Offences (Quarterly) 2017 Quarter 1, Reported Criminal Offences (Quarterly) 2016 Quarter 4, Reported Criminal Offences, Quarter 2016 Quarter 3, Reported Criminal Offences, Quarter 2016 Quarter 2, Reported Criminal Offences, Quarter 2016 Quarter 1, Reported Criminal Offences, Quarter 2015 Quarter 4, Reported Criminal Offences, Quarter 2015 Quarter 3, Reported Criminal Offences, Quarter 2015 Quarter 2, Reported Criminal Offences, Quarter 2015 Quarter 1, Documents associated with the documentation, Rape: Reported criminal offences 2025Q4 (docx), The purpose of the statistics is to show the number of criminal offenses in violation of the penal code and the special laws (except those contained in the Danish Road Traffic Act) to the police. The statistics on reported criminal offences date back to 1921, but are in its present form comparable from 1995 onwards., Statistical presentation, The statistics are a quarterly statement of the number of offences of penal code and special laws/legislation reported to the police or discovered by the police itself. The reported criminal offences can be broken down by type of offenses and geographical on regions and municipalities., Read more about statistical presentation, Statistical processing, The source of the statistics is The Central Register of Reported Criminal Offences - administered by the National Commissioner of the Danish Police. Data are delivered quarterly via system-to-system transmission., The data go through a probability check in form of a comparison with data from the previous year, key variables are checked for valid values and irrelevant offences are deleted., Read more about statistical processing, Relevance, The statistics are used broadly by the authorities, organizations, researchers, the press etc. as a basis for public and private planning, training, research and public debate. Views and suggestions from key users are taken into consideration in the preparation of the statistics., Read more about relevance, Accuracy and reliability, The statistics are made based on the data recorded at the time the extract is made. There is also produced an annual statistics for this area which is more complete. Comparisons between the quarterly statistics and the annual statistics reveal that the quarterly statistics under-estimate the number of reported criminal offences with approximately 6 percentages. There is, from quarter to quarter, a shift in the data; part of the registered reported crimes in a given quarter may refer to a previous quarter., The statistics do not include information on the hidden criminality, i.e. committed criminal offences not reported to the police., Read more about accuracy and reliability, Timeliness and punctuality, The publishing time for the statistics is about 20 days. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The statistics have been prepared on the same basis since 1995. Due to changes in the grouping of the criminal offences caution should be shown by comparing figures over time before this year., Read more about comparability, Accessibility and clarity, The statistics are publiced in the StatBank under the subject , Reported criminal offences, . For further information, go to the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/reported-criminal-offences--quarterly-

      Documentation of statistics

      Documentation of statistics: Consumer Expectations Survey

      Contact info, Prices and Consumption, Economic Statistics , Zdravka Bosanac , +45 61 15 16 74 , ZBO@dst.dk , Get documentation of statistics as pdf, Consumer Expectations Survey 2025 , Previous versions, Consumer Expectations Survey 2024, Consumer Expectations Survey 2023, Consumer Expectations Survey 2022, Consumer Expectations Survey 2021, Consumer Expectations Survey 2020, Consumer Expectations Survey 2019, Consumer Expectations Survey 2018, Consumer Expectations Survey 2017, Consumer Expectations Survey 2016, Consumer Expectations Survey 2015, The purpose of the survey is to analyze the consumer climate through questions about the economic situation as perceived by consumers at a given time concerning both the general economic situation in Denmark and the financial situation of the family. The main results are coordinated in the so-called consumer confidence indicator. The Danish surveys have been conducted since 1974. From 1996 data is collected in all 12 months of the year., Statistical presentation, Consumer monthly questions for: financial situation, general economic situation, price trends, unemployment, major purchases and savings. Consumer quarterly questions for: intention to buy a car, purchase or build a home, home improvements., Read more about statistical presentation, Statistical processing, This survey are sample surveys, where a representative sample of persons 16-74 years are asked among other things about the consumer expectations. The results are corrected from the effects of non-sampling and non-response and then enumerated so that the figures can directly be classed with the population of adult persons and families in Denmark. Data are validated using logical validation rules. A seasonal pattern could not be identified in the series and no seasonal adjustment was undertaken., Read more about statistical processing, Relevance, The most important user is the European Commission for Economy and Finances (ECFIN), which receives detailed tables for all questions and publishes seasonally adjusted consumer confidence indicators for all EU member states. The figures are also of great interest to the news media., Read more about relevance, Accuracy and reliability, As the results are based on a sample survey, they are subject to a certain degree of statistical uncertainty. This depends on both the size of the sample and the number of completed interviews, which vary from survey to survey. With a sample of approximately 1,500 persons and a response rate of about 65%, which has normally been achieved in the last few years, the statistical uncertainty is in 95 pct. of the cases estimated ranged within +/- 3 percentage points. A change in an indicator should be greater than 5 percentage points to indicate a significant change., Read more about accuracy and reliability, Timeliness and punctuality, There is no difference between planned and actual release time., Read more about timeliness and punctuality, Comparability, The questions asked in connection with these statistics in Denmark are also asked in the European Commission's Consumer confidence survey '. The European Commission publishes figures for all EU countries in its database. Eurostat's consumer confidence is based on a slightly different composition of questions than the current one in Denmark. Therefore, the overall consumer confidence indicators calculated in Denmark and in Eurostat are not directly comparable, whereas all sub-indicators are directly comparable. The questions shown in the section 2.01. Data description, have been asked in all the omnibus surveys since 1974. Due to minor changes in the calculation method, an immediate comparison is only possible from 2007 onwards. , Read more about comparability, Accessibility and clarity, The results are published in , News from Statistics Denmark, and , Statbank Denmark, . Further, there is a subject page for , Consumer Expectations, ., After each survey, Statistics Denmark submits detailed tables giving a number of background variables as well as the consumer confidence indicator and net figures to the European Commission, which publishes monthly both seasonally adjusted and not seasonally adjusted indicator and the net figures for each members state (incl. Denmark), at European Commission database: , European Commission database, The access to the more detailed data and Micro-data can be granted through Statistics Denmark's agreement for researchers., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/consumer-expectations-survey

      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: Harmonized Index of Consumer Prices (HICP)

      Contact info, Prices and Consumption, Economic Statistics , Martin Sædholm Nielsen , +45 24 49 72 81 , MNE@dst.dk , Get documentation of statistics as pdf, Harmonized Index of Consumer Prices (HICP) 2026 , Previous versions, Harmonized Index of Consumer Prices (HICP) 2025, Harmonized Index of Consumer Prices (HICP) 2024, Harmonized Index of Consumer Prices (HICP) 2023, Harmonized Index of Consumer Prices (HICP) 2022, Harmonized Index of Consumer Prices (HICP) 2021, Harmonized Index of Consumer Prices (HICP) 2020, Harmonized Index of Consumer Prices (HICP) 2019, Harmonized Index of Consumer Prices (HICP) 2018, Harmonized Index of Consumer Prices (HICP) 2017, Harmonized Index of Consumer Prices (HICP) 2016, Harmonized Index of Consumer Prices (HICP) 2015, Harmonized Index of Consumer Prices (HICP) 2014, Documents associated with the documentation, Notat-om-forbruger-og-nettoprisindekset-i-forbindelse-med-corona-krisen (pdf) (in Danish only), ECOICOP (pdf), Vægtgrundlag 1991 til i dag (xlsx) (in Danish only), The harmonized index of consumer prices (HICP) is compiled by all EU Member States and Norway, Iceland and Switzerland. The purpose of the harmonized consumer price indices is to be able to estimate the development in the countries' consumer prices on a comparable basis. HICP is used both by the Commission and by the European Central Bank in connection with the valuation of the price development in the individual countries in connection with the implementation and monitoring of the 3rd phase of the EMU. All the EU Member States and Norway and Iceland have compiled HICP since January 1997., Statistical presentation, HICP 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 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 HICP 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 HICP, are first grouped according to approx. 500 elementary aggregates for which elementary aggregate indices are calculated. The elementary aggregate indices are mainly calculated as geometric indices. The elementary aggregate indices are weighted together into sub-indices that are in turn aggregated into the total HICP., Read more about statistical processing, Relevance, The HICP is generally viewed as a reliable statistic based on the views of users., Important users are among others The European Central Bank, The European Commission, The Ministry of Finance, The Ministry of Economic Affairs and the Interior, The Danish Central Bank as well as 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 HICP as the sample is not randomly drawn, but the quality of the HICP is accessed to be high. In connection with COVID-19, uncertainty is greater than usual as it has been difficult to collect prices and many industries have been closed down., 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., Read more about accuracy and reliability, Timeliness and punctuality, The HICP 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., Read more about timeliness and punctuality, Comparability, The Danish HICP can be compared directly with other countries' HICPs. Using the HICPs it is possible to compare the inflation rates between different countries directly., The Danish HICP is also related to the national consumer price index., 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. , From January till December 2000, the only difference between the national consumer price index and the HICP is that both owner-occupied dwellings and private hospitals are only recorded in the consumer price index and not in the HICP. , Before January 2000, there are differences in calculation and methodology between the two indices as well as several differences as regards their coverage of goods and services., Read more about comparability, Accessibility and clarity, These statistics are published monthly in a Danish press release and in the StatBank under , Harmonized index of consumer prices (HICP), . The HICP of all Member States is also published by Eurostat in , Statistics in Focus/Economy and Finance, and on , Eurostat, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/harmonized-index-of-consumer-prices--hicp-

      Documentation of statistics

      Documentation of statistics: Museums

      Contact info, Science, Technology and Culture, Business Statistics , Christian Max Gustaf Törnfelt , +45 21 63 60 20 , CHT@dst.dk , Get documentation of statistics as pdf, Museums 2024 , Previous versions, Museums 2023, Museums 2022, Museums 2021, Museums 2020, Museums 2019, Museums 2018, Museums 2017, Museums 2015, Museums 2014, Museums 2013, The statistics have been compiled annually since 1984, but in 2016 they have undergone restructuring, which affects the number of the total number of guests in the museums. The state museums and the stat recognized museums continues unchanged., Statistical presentation, The statistic is yearly and it shows the number of visitors inclusive children and young people under 18 years. Furthermore it gather information about yearly opening hours. From 2022, the statistic also show the number of volunteers, hours worked by volunteers and the total admission revenue (incl. annual passes), as well as the number of events outside the premises of the museum and online events (live-streamed) and participants in the two type of events. The museums have different categories and the statistic delivers a time series on the number of visitors since 1984., Read more about statistical presentation, Statistical processing, Annual electronic questionnaires answered by the individual museums. The statistics on museums is validated and corrected at the micro level i.e. the individual museums. If a museum has large fluctuations in the number of visitors contacted the museum for a clarification of the cause. , Read more about statistical processing, Relevance, The overviews of the individual museums visitor numbers are much in demand., The users are primarily the Ministry of Cultural Affairs, The Danish Agency for Culture, organizations engaged in activities within in the field of museums and the news media, Read more about relevance, Accuracy and reliability, Reporting to the museum statistics is voluntary, so the statistics are not fully comprehensive. Several of the smaller museums do not have the resources to report to the statistics. There are also museums that are not state aid that have asked to be exempted from receiving a form., In 2016, schedules were sent out to 430 museum departments. In 2017, forms have been sent out to approx. 400 museum departments. In 2018, forms have been sent out to approx. 380 museum departments. In 2019 forms have been sent to approx. 370. The reason for sending fewer forms is due, for example, to the fact that museums close, exempt from the survey or have wanted to receive one report despite having several places. In 2020 forms have been sent to approx. 380 museum departments. In 2021 forms have been sent to approx. 460 museum departments. In 2022 forms have been sent to approx. 600 museum departments. The reason for the expanded population is due to a screening of potential museums based on the industry code in the Business Register. The reporters had to answer whether they had a collection that the public had access to. If they answered 'yes', they were included in the statistics. If they answered 'no', they were excluded. In 2023 forms have been sent to approx. 460 museum departments. In 2024 forms have been sent to approx. 450 museum departments. , Read more about accuracy and reliability, Timeliness and punctuality, Statistical data are published approximately 5 months after the end of the reference period. , Read more about timeliness and punctuality, Comparability, It is possible to compare the survey for visitors to state museums and state recognized museums. For museums with other state subsidies and not state-subsidized museums, there may be a variation in e.g. the number of visits etc., which is due to composition effects, and it is not necessarily the same museums or the same number of museums that are included in the population or report to the statistics each year. For museums with other state subsidies and not subsidized museums, comparison with data before 2016 should also be taken with reservation as population formation changed in 2016. EGMUS The European Group on Museum Statistics publishes numbers of museums for most European countries. Many countries collect only information about state-sponsored museums., Read more about comparability, Accessibility and clarity, The statistics are published as , New from Statistics Denmark, . The statistics under the topic [Museums and zoo] are published in StatBank. In addition, the statistics are included in the Statistical Yearbook and the Statistical Yearbook. Read more on the subject's subject page , Museums and zoos, ., There can also be talk about museums in the , Culture publication, . The Danes' use of museums can be found in the Cultural Swan Survey's , statistics bank tables, ., Read more about accessibility and clarity

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

      Documentation of statistics

      Documentation of statistics: Highest Education Attained

      Contact info, Population and Education, Social Statistics , Lars Peter Smed Christensen , +45 20 42 35 51 , LPC@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: Research Education

      Contact info, Population and Education, Social Statistics , Lene Riberholdt , +45 23 60 62 18 , LRI@dst.dk , Get documentation of statistics as pdf, Research Education 2025 , Previous versions, Research Education 2024, Research Education 2023, Research Education 2022, Research Education 2021, Research Education 2020, Research Education 2019, Research Education 2018, Research Education 2017, Research Education 2016, Research Education 2015, Research Education 2014, Research Education 2013, The aim of the statistics on PhD-students is to show the volume of PhD-education. Furthermore it gives information on the progress of the education and the subjects of the project. Data are comparable since mid-eighties which is as long the PhD education has existed in Denmark., Statistical presentation, The statistics gives information on numbers of PhD-students and numbers of PhD-graduates at institutions approved to offer PhD-educations in Denmark. The statistics gives information on the progress of the education, under here schemes and special arrangements, periods of leave, and study periods spent abroad. The statistics also gives information on the subjects of the project and on sources of financing. The statistics also covers doctorate granted after §15,2, according to this paragraph a doctorate can be granted based exclusively on a positive evaluation of a thesis without participation in an education., Read more about statistical presentation, Statistical processing, The statistics is based on reports from all Danish institutions approved to offer PhD-educations. The data collection covers the total population. The reported data from each respondent is examined carefully. The examination is concentrated on missing data for each respondent. It is also checked if consistent information are reported for each student. Data reported from a university is furthermore compared to data for previous time periods. , In case of missing data or unexpected trends the respondent is contacted for verification of the reported data., Read more about statistical processing, Relevance, These statistics are relevant for Ministries, Universities, Public service, Business organizations, Media and Researchers, for research and analyses. The statistical data are also used in other areas within Statistics Denmark as education statistics are relevant in many contexts. , Read more about relevance, Accuracy and reliability, The statistics are based on a complete enumeration in which all universities and other institutions authorised to offer PhD programmes report data. The statistics cover PhD students and awarded PhD degrees at Danish institutions but do not include doctoral degrees obtained abroad. The core information on the number of PhD students and the number of awarded PhD degrees is based on extensive error checking and there are no significant missing reports. Information on the main field of study is based on institutional affiliation and may in some cases be affected by organisational changes at the universities., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately five months after the end of the reference period. In some cases, the release date may be adjusted if reports are received late or if additional data validation and processing are required. The statistics are thereafter published on time in accordance with the announced release date in the release calendar., Read more about timeliness and punctuality, Comparability, The statistics are comparable over time for the core variables relating to PhD students and awarded PhD degrees, as the population and main definitions have been consistent since 1996. Information on main fields of study may in some years be affected by changes in the organisational structure of universities; such changes have been addressed through recoding to preserve the time series. The statistics are comparable with international statistics on PhD programmes but differ from statistics on the educational attainment of the population in countries where individuals with PhD degrees obtained abroad are included., Read more about comparability, Accessibility and clarity, In the StatBank, these statistics can be found under the subject , PhD programmes, . For further information, go to the , subject page, . Tailor-made statistics is available via , DST Consulting, . Micro-data is accessible via Statistics Denmark's , Research Services, Read more about accessibility and clarity

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

      Documentation of statistics

      Documentation of statistics: Environmental Multiplier Tables

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

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

      Documentation of statistics
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