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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 2 , Previous versions, 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 2025Q2 (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 StatBank under the subject , Anmeldte forbrydelser, Furthermore the numbers are included in the publication , Kriminalitet (Criminality), . Se more on the statistics , 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: 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 2024 , Previous versions, 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., A year late, the Ph.D. registry is also part of the Student registry and checked according to the standard processes there as well., 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, All universities and other Institutions approved to offer PhD-educations reports data. Concerning the central units: PhD-students and PhD-graduates, the quality is considered as being very good as the corrections-procedures are very thoroughly. Concerning the information on Main field the quality is considered as good, but since it is based on the students institutional setting and the Faculty structure is under reconstruction these years the accuracy of this information can be affected in a few cases., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published during spring after the reference year. Data collection and data processing have been under revision and the production time has therefore been shortened compared to earlier years., Read more about timeliness and punctuality, Comparability, Comparability over time for the main variables is good. The statistics also contains information on education schemes, research topics, financing, stays abroad and employment. the content of these variables has changed over the years, but have been consistent since 2009., International comparability of statistics on number of PhD-students are considered to be very good. Concerning international comparability of statistics on the education level of the population, countries using surveys have the possibility of including persons, who have obtained the PhD-degree abroad. These group is in most cases not included in the Danish statistics., 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: Production and Turnover in Manufacturing Industries

Contact info, Short Term Statistics, Business Statistics , Mathias Dybdahl Bluhme , +45 40 22 56 37 , MDB@dst.dk , Get documentation of statistics as pdf, Production and Turnover in Manufacturing Industries 2025 , Previous versions, Production and Turnover in Manufacturing Industries 2024, Production and Turnover in Manufacturing Industries 2023, Production and Turnover in Manufacturing Industries 2022, Production and Turnover in Manufacturing Industries 2021, Production and Turnover in Manufacturing Industries 2020, Production and Turnover in Manufacturing Industries 2019, Production and Turnover in Manufacturing Industries 2018, Production and Turnover in Manufacturing Industries 2017, Production and Turnover in Manufacturing Industries 2016, Production and Turnover in Manufacturing Industries 2015, Production and Turnover in Manufacturing Industries 2014, Documents associated with the documentation, Mængdeberegninger for medicinalindustrien i Industriens Produktion og Omsætning (IPO) og det Kvartalsvise Nationalregnskab (KNR) (pdf) (pdf) (in Danish only), The purpose of the statistics Industry's production and turnover is to shed light on developments in the industry. It is primarily used for assessments of economic developments in industry in Denmark., The statistics are part of the EU's common short-term statistics and date back to 1974, but in their current form are comparable from 1985 onwards for most industries., Statistical presentation, The statistics are a monthly statement of the production and turnover index for the industry. The statistics are divided into five groups defined on the basis of the use of goods and services (eg production of durable and non-durable consumer goods) and the main groups mining and quarrying (B), manufacturing (C) and energy supply (D) and 12 main industry groups under main group C, which follow the Danish industry nomenclature DB07. The turnover index is also calculated by dividing a domestic market turnover index and an export turnover index. All figures are published both adjusted for seasonal fluctuations and in actual figures., Read more about statistical presentation, Statistical processing, Every month, information is collected on the value of turnover and stock from a sample of approx. 1,000 industrial companies in Denmark. For most, this is done using online questionnaires, but for about 20 per cent. of the companies, the information can instead be collected from statistical registers. The received data is debugged and production is calculated based on turnover and stock figures. Then the data is weighted so that a production and a turnover index can be calculated that represents the entire manufacturing industry in Denmark. The results are seasonally adjusted to eliminate normal seasonal fluctuations, Read more about statistical processing, Relevance, The development of the production and turnover indices are primary used for manufacturing industry business cycle analyses and as input for the national accounts. Various users include industry organisations, public authorities and the news media. Form and content as well as comparisons with other statistics are continuously discussed at manufacturing industry user committee meetings., Read more about relevance, Accuracy and reliability, There is some sampling uncertainty as the statistics are based on a sample of companies. In addition, there are a number of assumptions in calculations, eg in connection with the valuation of inventories. In the first version of the numbers, there is a bit of a lapse., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published between 35 and 40 days after the end of the month. The punctuality is high, with very few delays in relation to the scheduled release dates. , Read more about timeliness and punctuality, Comparability, The current time series goes back to year 2000, and it has a high degree of comparability over time. The time series can for most industries be linked to data of previous years, resulting in a comparable time series going back to year 1985. The international comparability with similar statistics from other EU countries is very high., Read more about comparability, Accessibility and clarity, New figures are published in a monthly news article News from Statistics Denmark, and all figures can be found in , Statbank Denmark, ., The statistics also have a , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/production-and-turnover-in-manufacturing-industries

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) 2024 , Previous versions, 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., 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: Bankruptcies

Contact info, Short Term Statistics , Søren Dalbro , SDA , SDA@dst.dk , Get documentation of statistics as pdf, Bankruptcies 2022 , Previous versions, Bankruptcies 2020, Bankruptcies 2019, Bankruptcies 2018, Bankruptcies 2017, Bankruptcies 2016, Bankruptcies 2015, Bankruptcies 2014, The purpose of these statistics on bankruptcies is to analyze trends in the number of bankruptcies as well as in selected characteristics of companies gone bankrupt. These trends are considered as an essential economic or short time indicators. Compilation of the statistics was established in January 1979 based on a 'simple count method'. In 2009 the method was changed to a registry-based method. Quarterly statistics on selected and aggregated NACE-sections are published from July 2021., Data on petitions for liquidation proceedings are calculated on experimental basis as a high frequent (weekly) short time indicator. They cover the period since 2011., Statistical presentation, The statistics on declared bankruptcies show monthly the development in the number of announcements by industry, region, company age, turn-over and employment. Furthermore average company age, total turn-over and total employment (lost jobs) in bankrupt companies are calculated. The bankruptcies are moreover calculated for so called active companies, i.e. companies with employment and/or turnover >= 1 million DKK, as well as inactive companies, i.e. companies without employment and turnover less than 1 million DKK., Figures on petitions for liquidation proceedings are calculated on experimental basis as a high frequent (weekly) short time indicator. They cover the period since 2011., The declared bankruptcies are from July 2021 published quarterly together with figures on new registered enterprises on selected and aggregated sections in the so called Quarterly Business Demography, QBD.. , Read more about statistical presentation, Statistical processing, Data from The Danish Official Gazette (Statstidende) are checked for missing reports and duplicates., The announced bankruptcies in the month of reference are added on business sector, turnover, age, employment and geography. The bankruptcies are moreover calculated for so called active companies, i.e. companies with employment and/or turnover >= 1 million DKK, as well as inactive companies, i.e. companies without employment and turnover less than 1 million DKK. The main series with the total number of bankruptcies are seasonal adjusted together with the series of bankruptcies in active companies., The series on petitions for liquidation proceedings are checked at delivery. Some of the petitions for liquidation proceedings are removed from data as they cover private bankruptcies., Read more about statistical processing, Relevance, The statistics on declared bankruptcies and petitions for liquidation proceedings are used by public and private decision-makers as short time indicators and as indicators of the state of affairs in enterprises., Read more about relevance, Accuracy and reliability, There are no changes to former published data. Company ages can be underestimated due to companies changes in the 'cvr'-number. Turn-over and employment figures does not necessarily reflect the situation on the time of bankruptcy as these data refer to an earlier reference period (year or quarter)., Earlier published figures on petitions for liquidation proceedings can be changed by new data deliveries., Read more about accuracy and reliability, Timeliness and punctuality, The statistics on declared bankruptcies is nearly always published on the fourth working day after the reference month. , Publications on declared bankruptcies are released on time, as stated in the release calendar. , The statistics on petitions for liquidations are normally published every Wednesday but delays may occur., Read more about timeliness and punctuality, Comparability, The figures for declared bankruptcies before 2009 are not fully compatible with the later figures as the former figures also contain personal bankruptcies. The size of the difference is not available., Read more about comparability, Accessibility and clarity, Statistics on declared bankruptcies are published monthly 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 , Bankruptcies, . For more information, go to the , subject page, Statistics on petitions for liquidations are published weekly in the Statbank and at https://www.dst.dk/da/Statistik/emner/erhvervsliv/erhvervslivets-struktur/konkurser) , Statistics on Quarterly Business Demography are published quarterly in the Statbank. (Link og dokumentation kommer på, når det er oprettet), Read more about accessibility and clarity

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

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

Danish data SDDS plus

The data shown in this page correspond to the data described on the International Monetary Fund's Dissemination Standards Bulletin Board (DSBB) and includes links to the SDDS plus data. , For a fuller explanation of the DSBB and the statistical standards to which Denmark has committed, please click on , DSBB Home Page, ., This page is updated on the day that data are released. , Real sector, Fiscal sector, Financial sector, External Sector, Socio-demographic Data, Gender, Data category, National website, SDMX data, Metadata, Real sector, National accounts , Statistics Denmark, SDMX, Metadata, Sectoral balance sheets , Statistics Denmark, SDMX, Metadata, Industrial production, index , Statistics Denmark, SDMX, Metadata, Industrial production, manufacturing and mining, index , Statistics Denmark, SDMX, Metadata, Retail sales, index , Statistics Denmark, SDMX, Metadata, Employment , Statistics Denmark, SDMX, Metadata, Unemployment, number of persons, SA , Statistics Denmark, SDMX, Metadata, Unemployment, number of persons, NSA , Statistics Denmark, SDMX, Metadata, Unemployment rate, percent, SA , Statistics Denmark, SDMX, Metadata, Wages/earnings , Statistics Denmark, SDMX, Metadata, Consumer price index , Statistics Denmark, SDMX, Metadata, Producer price index , Statistics Denmark, SDMX, Metadata, Import price index , Statistics Denmark, SDMX, Metadata, Fiscal sector, General government total gross debt in nominal values , Statistics Denmark, SDMX, Metadata, General government - Memorandum items , Statistics Denmark, SDMX, Metadata, General government operations - Transactions in financial assets and liabilities (Financing) - Quarter , Statistics Denmark, SDMX, Metadata, General government operations - Transactions in financial assets and liabilities (Financing) - Annual , Statistics Denmark, SDMX, Metadata, General government operations - Transactions affecting net worth - Quarter , Statistics Denmark, SDMX, Metadata, General government operations - Transactions affecting net worth - Annual , Statistics Denmark, SDMX, Metadata, Central government operations , Danmarks Nationalbank, SDMX, Metadata, Central government debt , Danmarks Nationalbank, SDMX, Metadata, Financial sector, Analytical accounts of the banking sector - Domestic assets and liabilitites including lending , Danmarks Nationalbank, SDMX, Metadata, Analytical accounts of the banking sector - Foreign assets and liabilities , Danmarks Nationalbank, SDMX, Metadata, Analytical accounts of the banking sector - Monetary aggregates , Danmarks Nationalbank, SDMX, Metadata, Analytical accounts of the Central Bank (Danmarks Nationalbank) - Domestic lending and securities holding , Danmarks Nationalbank, SDMX, Metadata, Analytical accounts of the Central Bank (Danmarks Nationalbank) - External position , Danmarks Nationalbank, SDMX, Metadata, Interest rates , 2, Danmarks Nationalbank, Metadata, Financial soundness indicators - Deposit taking institutions , Danmarks Nationalbank, SDMX, Metadata, Financial soundness indicators - Residential real estate prices , Statistics Denmark, SDMX, Metadata, OFCS balance sheet , Statistics Denmark, SDMX, Metadata, Debt securities , Danmarks Nationalbank, SDMX, Metadata, External Sector, Balance of payments , Statistics Denmark, SDMX, Metadata, International reserves , Danmarks Nationalbank, SDMX, Metadata, Template on international reserves and foreign liquidity , Danmarks Nationalbank, SDMX, Metadata, Merchandise trade, value of exports and imports (FOB, CIF) , Statistics Denmark, SDMX, Metadata, Merchandise trade, volume of exports and imports, (FOB, CIF), index , Statistics Denmark, SDMX, Metadata, Merchandise trade, deflator/unit value of exports and imports, (FOB, CIF), index , Statistics Denmark, SDMX, Metadata, International investment position , Danmarks Nationalbank, SDMX, Metadata, Gross external debt , Danmarks Nationalbank, SDMX, Metadata, Coordinated portfolio investment survey , Danmarks Nationalbank, Metadata, Coordinated direct investment survey , Danmarks Nationalbank, Metadata, Currency composition of official foreign exchange reserves , 3, Danmarks Nationalbank, Metadata, Exchange rates , 2, Danmarks Nationalbank, Metadata, Socio-demographic Data, Population , 4, Statistics Denmark, SDMX, Metadata, Gender, Labor Force Participation Rate by Gender , Statistics Denmark, SDMX, 1, ) Data will be released no later than 2018, 2, ) SDMX dissemination is not required for this category., 3, ) Participate, 4, ) Population at the first day of the quarter

https://www.dst.dk/en/Statistik/IMF/Imf

Documentation of statistics: Budgets of General Government

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

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

Documentation of statistics

Documentation of statistics: 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: Business Services in the Sector for Market Research and Public Opinion Polling

Contact info, Business Dynamics, Business Statistics , Emil Tappe Bang-Mortensen , +45 24 67 85 25 , ebm@dst.dk , Get documentation of statistics as pdf, Business Services in the Sector for Market Research and Public Opinion Polling 2023 , Previous versions, Business Services in the Sector for Market Research and Public Opinion Polling 2019, Business Services in the Sector for Market Research and Public Opinion Polling 2017, Business Services in the Sector for Market Research and Public Opinion Polling 2015, Business Services in the Sector for Market Research and Public Opinion Polling 2013, The purpose of the statistics Market research and public opinion polling is to provide information on turnover and types of services in enterprises with market research and public opinion polling as main activity. The statistics is also used for revision of activity classifications in the Business Statistical Register. The Statistics is part of the EU's Structural Business Statistics (SBS). The statistics was first published for the reference year 2001. Prior to 2012 it was called Product Statistics for Market research and public opinion polling. From 2023 the statistics has been changed to only cover enterprises with at least 20 employees. , Statistical presentation, The statistics provides information on the distribution of total turnover and export on products and services. Furthermore information is collected on the turnover broken down by clients and information on the export broken down by residence of client (resident or Non-resident intra-EU or Non-resident extra-EU). , Read more about statistical presentation, Statistical processing, Data is collected by online questionnaire from a total count of enterprises in the sector Market Research and public opinion polling. In the questionnaire the enterprises are asked to breakdown their turnover by a number of products, services and client categories. It also reported information about export. The reported data are checked by comparing the distribution of turnover among enterprises that are similar. Survey data is grossed up in part by including information turnover from the Accounts Statistics for Non-Agricultural Private Sector in the reference year for the entire population. , Read more about statistical processing, Relevance, The statistics is used among enterprises when planning and provides an overview of the development taking place in the service sector. The statistics is also used of the European Statistic bureau, Eurostat, to create EU-statistics about Business Services., Read more about relevance, Accuracy and reliability, All enterprises within the population are required to submit to the statistics and the submitted turnover is subject to adjustments against the turnover from Accounts Statistics for Non-Agricultural private sector, which consists of a large sample, administrative sources and XBRL reports from the Danish Business Authority. Therefore, the statistics accurately reflect the turnover and its distributions on the various services. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published once a year and approximately 11 months after the end of the reference year. The statistics is published usually without delay regarding to the announced date. To the EU the data must be delivered within 18 months after the end of the reference year. , Read more about timeliness and punctuality, Comparability, The statistics has been compiled since 2001. The questionnaire, sampling method and calculation has been adjusted a couple of times, in 2013 where data from 2012 was recalculated with a new method and from the reference year 2023, where the statistics only covers enterprises with at least 20 employees. The statistics is produced according to the guidelines in the European Business Statistics Manual, and it is thus comparable to the similar statistics in other EU countries. , Read more about comparability, Accessibility and clarity, The latest New article can be found on , NEW, . The statistics is published on , STATBANK, . Furthermore the statistics has a , subject page, ., In the Statistics Database of EU the distributions of the turnover by services and residence of client are published on , EUROSTAT's homepage, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/business-services-in-the-sector-for-market-research-and-public-opinion-polling

Documentation of statistics