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      Documentation of statistics: Research and development in the public sector

      Contact info, Science, Technology and Culture, Business Statistics , Mille Wilhjelm Poulsen , +45 40 18 78 40 , MWP@dst.dk , Get documentation of statistics as pdf, Research and development in the public sector 2024 , Previous versions, Research and development in the public sector 2023, Research and development in the public sector 2022, Research and development in the public sector 2021, Research and development in the public sector 2020, Research and development in the public sector 2019, Research and development in the public sector 2018, Research and development in the public sector 2017, Research and development in the public sector 2016, Research and development in the public sector 2015, Statistics on Research and Development – Public sector 2014, Statistics on Research and Development – Public Sector 2013, Statistics on Research and Development – Public sector 2012, The purpose of the statistics on Research and Development in the public sector is to illustrate the extent of R&D activities carried out within the public sector. The statistics are used, among other things, to assess the share of GDP devoted to research and development. The survey is conducted according to the OECD guidelines for research and development (R&D) statistics, as set out in the Frascati Manual. The statistics have been produced since 1997, but are comparable in their current form from 2007 onwards., Statistical presentation, The statistics provide an annual account of R&D in the public sector, showing both expenditure (in millions of kroner) and personnel (in numbers and full-time equivalents). The data are distributed by main sectors, types of expenditure, scientific fields, and type of research., Read more about statistical presentation, Statistical processing, The statistics are based on questionnaires and are collected annually from approximately 650 public and private non-profit units, which together are assumed to carry out all significant R&D in the public sector. The reported data undergo extensive validation, focusing on a number of high-priority variables, particularly R&D expenditure and R&D full-time equivalents. Validation is performed at both the macro and micro level., Read more about statistical processing, Relevance, There is a general political objective of increasing the share of GDP, which is applied for research and development, and in the light of this objective, there is great interest in compiling statistics on research and development. The main users are Ministries, public authorities, business organisations, researchers, private business enterprises and the media. In addition, the European Commission (The statistical office Eurostat) and the OECD are important users. Data are available for purposes of research., Read more about relevance, Accuracy and reliability, They are based on a complete census, of the expected research-active institutions, of approximately 650 public institutions, with a response rate close to 100 percent. The large dataset undergoes extensive validation, and except for a single question, the extent of imputation for missing values is relatively limited. Imputation may, for example, involve inserting calculated values from other institutions’ reports in place of missing information., Read more about accuracy and reliability, Timeliness and punctuality, National release is done 1 year after the end of the reference period. It is the aim to publish preliminary figures 1 year after the end of the reference period. Final figures are published 1 year after the preliminary figures. Transmission of data to Eurostat follows rules laid down in the relevant legal act. , Read more about timeliness and punctuality, Comparability, Comparable figures are available for 1997–2006, when the statistics were compiled by the Centre for Research Analysis, and from 2007 onwards. In the 2007 statistics, some changes were made to the accounting principles compared with earlier compilations, and between 2006 and 2007 a number of structural changes affected a large number of research institutions. This means that the data in the new survey are only partially comparable with previous surveys., Read more about comparability, Accessibility and clarity, These statistics are published yearly 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 the subject , Research and development, . For further information, go to the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/research-and-development-in-the-public-sector

      Documentation of statistics

      Documentation of statistics: Population Projections

      Contact info, Population and Education, Social Statistics , Annika Klintefelt , +45 23 31 14 33 , AKF@dst.dk , Get documentation of statistics as pdf, Population Projections 2025 , Previous versions, Population Projections 2024, Population Projections 2023, Population Projections 2022, Population Projections 2021, Population Projections 2020, Population Projections 2019, Population Projections 2018, Population Projections 2017, Population Projections 2016, Population Projections 2015, Population Projections 2014, A population projection gives an estimate of the size and composition of the future population with respect to sex, age, municipality and origin. The estimate is subject to a number of conditions and assumptions on migration, mortality and fertility. The projection is based on the assumption that the development in recent years continues. Often the development in e.g. in-migration is different from what was assumed and, for that reason, the projection will typically not match the actual development exactly., Statistics Denmark has prepared population projections since 1963. Since 2010, the projections have been produced in collaboration with DREAM (Danish Research Institute for Economic Analysis and Modelling), which is an independent institution whose purpose it is to develop and maintain tools for structural policy analysis. , Statistical presentation, Based on the projection for all of Denmark, Statistics Denmark subsequently makes projections that can be disaggregated by sex, age, provinces and municipalities. As part of the projections, figures are also available on demographic changes in terms of liveborn children, deaths, immigrants and emigrants., Read more about statistical presentation, Statistical processing, The population projections are based on historical data regarding the composition of the population in terms of sex, age and ancestry as well as fertility, mortality, immigration and emigration, and internal migration., Assumptions on the future development in fertility, mortality and migration are necessary to be able to make the projections., The projections are made every year using the population on 1 January. They are released in the beginning of May., A projection is made for the whole country as well as projections for the 11 provinces and 98 municipalities., Read more about statistical processing, Relevance, The projections for municipalities are widely used by the municipalities, and they create the basis for the municipalities’ own projections, which often incorporate a number of local factors that are not part of Statistics Denmark’s projections. The municipalities may use the projections in their planning of institutions, schools and the need for nursing homes in the future. Local media across the country take great interest in Statistics Denmark’s projection., Read more about relevance, Accuracy and reliability, The population projection is built on previous years’ development and is an estimate of the population development. The estimate is subject to a number of conditions and assumptions on migration, mortality and fertility. The projection is based on the assumption that the development seen in recent years will continue. Often the development in e.g. in-migration is different from what was assumed and, for that reason, the projection will typically not match the actual development exactly., In 2024 the projection for Denmark was 0.1 percentage points below actual population growth. To a wide extent, the uncertainty at municipal level is linked to the fact that local development plans and local decisions are not part of the model. Especially in 2020 and 2021, the COVID-19 pandemic has created uncertainty. In 2024, 60 per cent of the municipalities were within minus 0.5 percentage points of the actual population growth the first year. , Read more about accuracy and reliability, Timeliness and punctuality, Statistics have been published as announced without delay in the month of May or June., Read more about timeliness and punctuality, Comparability, Each projection is a new set of statistics and must not be used for time series together with previous projections., With the projection 2010, Statistics Denmark made the projection for all of Denmark for the first time in collaboration with DREAM, and in connection with this, a switch was made to a new projection model based on DREAM’s previous model., Read more about comparability, Accessibility and clarity, The population projections are published in Nyt fra Danmarks Statistik (Statistics Denmark’s news series in Danish) under the subject , Population projections, . For further information, go to the subject page for these statistics., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/population-projections

      Documentation of statistics

      Documentation of statistics: National Accounts: Annual

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

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

      Documentation of statistics

      Documentation of statistics: Economic Accounts for Agriculture

      Contact info, Food Industries, Business Statistics , Simone Thun , +45 51 36 92 51 , sit@dst.dk , Get documentation of statistics as pdf, Economic Accounts for Agriculture 2024 , Previous versions, The Economic accounts for agriculture is a macroeconomic accounting system that illustrates the overall economy of the agricultural sector by providing accounts of production, intermediate consumption, gross investment, and other flows. As a satellite account under the European system of national accounts, this statistic represents the agricultural sector’s contribution to the National Accounts. In 2024, the statistic Gross factor income of agriculture was replaced by the Economic accounts for agriculture, which is regulated by an EU regulation. Accounts for Gross factor income of agriculture are available back to 1935, while the Economic accounts for agriculture in its current form are comparable from 1990 onwards., Statistical presentation, The Economic accounts for agriculture is an annual compilation of the agricultural sector’s economic activities, including the value of production (output), intermediate consumption, and gross investments. In addition, subsidies, labour input, and the sale of pesticides and mineral fertilizers are presented in separate, dedicated tables. The economic activities are compiled at basic prices and expressed in million DKK, both at current prices and at previous year’s prices. The statistics are compiled at both national and regional level. The agricultural labour input is measured in thousand annual work units (AWU). Direct subsidies to the agricultural sector are presented in million DKK. The sale of mineral fertilizers is compiled in tonnes., Read more about statistical presentation, Statistical processing, The Economic accounts for agriculture is a composite statistical product, which means that its calculation basis is built on existing statistics, referred to as primary statistics. The statistics are compiled annually using data from a range of different sources, e.g., the Farm Accountancy Data Network and Feed Production Statistics, as well as from administrative registers, industry organizations, companies, and foundations. Once the data in each primary statistic has been processed, it is transferred to and consolidated in the data processing system for the Economic accounts for agriculture, which calculates the annual values. The value of each product is calculated using the standard “quantity times price” method., Read more about statistical processing, Relevance, The Economic accounts for agriculture are relevant for Danish authorities, the EU, research institutions, and agricultural organizations, as they allow monitoring of developments in the economic activities of the agricultural sector. The statistics also serve as input for the compilation of the National Accounts., Read more about relevance, Accuracy and reliability, The uncertainty in the Economic accounts for agriculture is linked to the uncertainty in the primary statistics used for its compilation. For example, issues such as timing can introduce uncertainty, while other information, such as data from dairies and slaughterhouses, is exact. For preliminary calculations, some estimates are based partly on expert judgment and assumptions until the final data are processed in the primary statistics; therefore, the statistics are considered final only after two years. The sold quantities of mineral fertilizers from the Danish Agency for Green Conversion and the Environment are associated with a certain degree of uncertainty. The data come from the annual collection of sales figures, in which companies with registered products are asked to report the quantities sold of those products. Companies have the option to indicate tax-exempt quantities, but this is voluntary, and not all companies use this option. The data collection does not include self-imports, and some products may be double-counted if a company has not used the option to report a sold quantity as tax-exempt. The data quality is therefore directly dependent on the information provided by the companies to the Agency., Read more about accuracy and reliability, Timeliness and punctuality, Preliminary figures for the Economic accounts for agriculture are published no later than 10 months after the end of the reference year. Revised, yet still preliminary, figures are published 22 months after the end of the reference year. Final figures are published no later than 2 years and 10 months after the end of the reference year., Read more about timeliness and punctuality, Comparability, The Economic accounts for agriculture replace the Gross Value Added of Agriculture and are published for the first time in 2025 for the years 2022, 2023, and 2024. They are directly comparable with the Gross Value Added of Agriculture, which can be traced back to 1990, while older compilations exist back to 1935. Unlike the Gross Value Added of Agriculture, the Economic accounts for agriculture include changes in farm stocks and livestock in sales values and present sales values at basic prices. In addition, the compilation contains a number of financial accounts that are not included in the Gross Value Added of Agriculture. As a satellite account, the Economic accounts for agriculture are comparable with the National Accounts’ compilations for the agricultural sector., Read more about comparability, Accessibility and clarity, The statistics are published in , Nyt fra Danmarks Statistik, . In StatBank, the Economic accounts for agriculture are available under the subject , Agricultural and horticultural economy, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/economic-accounts-for-agriculture

      Documentation of statistics

      Documentation of statistics: Payments by the Ministry of Culture

      Contact info, Science, Technology and Culture , Søren Østerballe , +45 23 42 32 97 , SRB@dst.dk , Get documentation of statistics as pdf, Payments by the Ministry of Culture 2023 , Previous versions, Payments by the Ministry of Culture 2022, Payments by the Ministry of Culture 2020, Payments by the Ministry of Culture 2019, Payments by the Ministry of Culture 2018, Payments by the Ministry of Culture 2017, Payments by the Ministry of Culture 2016, Payments by the Ministry of Culture 2015, Payments by the Ministry of Culture 2014, Payments by the Ministry of Culture 2013, The purpose of the statistics Payments by the Ministry of Culture is to provide a comprehensive overview of the magnitude, scope and distribution of payments by the Ministry of Culture for cultural purposes. Payments by the Ministry of Culture in combination with the statistics Public Funding for Cultural Purposes provide a detailed picture of state financing and support for cultural activities. The statistics cover the period from 2010 and onwards., Statistical presentation, The statistics are an annual statement of payments for promoting purposes within the area of the Ministry of Culture, e.g. for the operation of institutions, specific activities and projects, scholarships, etc. and shows the distribution on different cultural domains and geography. Recipients are described by age and gender (persons) or company form and size (companies). The payments to authors, translators, etc. linked to the Public Lending Rights' Fund and the distribution of disbursements to the special, cultural domains Children and Young People, Research and Education are tabulated., Read more about statistical presentation, Statistical processing, The Ministry of Culture sends annual data to Statistics Denmark on payments including amounts, purpose, geographical and other targeting, as well as information on recipients. Statistics Denmark debugs data and links them with background information about the recipients. This information is for personal recipients age, area of residence and gender. For companies background information is location, and size and type of business. Finally, data is tabulated and published in StatBank Denmark following a number of additional checks., Read more about statistical processing, Relevance, The statistics can be used for summaries of public funding for various cultural purposes over time. The statistics can be used as an indicator of state grants for cultural purposes, with the proviso that other ministries besides the Ministry of Culture also can pay out grants for cultural purposes. Moreover, the statistics describes geographical distribution of funding as well as characteristics of recipients in terms of geography, sex and age (persons), or size and business type (companies). The statistics is established and continuously developed in collaboration with the Ministry of Culture., Read more about relevance, Accuracy and reliability, Data is collected via the Ministry of Culture's grant administrative systems, other financial systems and the Government Accounts. There are no uncertainty calculations available, but the overall precision is assessed to be very high with regard to the current payments from the Ministry of Culture. Over time, adjustments may occur in the Ministry of Culture's allocation of cultural subjects to certain schemes and budget areas. Likewise, changes in remit mean that government grants can be moved between departments. The ongoing adjustments can thus affect comparability over time., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are normally published in mid-June approximately 5½ months after the end of the reference period. The statistics are usually published without delay in relation to the announced time., Read more about timeliness and punctuality, Comparability, When assessing time series from these statistics, the user should be aware of shifts in the Ministry of Culture's area of responsibility etc. as described under Comparability over Time. For example, the data breach from 2011 to 2012 is due to reshuffles after the formation of the government in 2011. The Ministry of Culture was handed over the area of ​​public education and the folk high schools from the Ministry of Children and Education, and castles and cultural properties were moved from the Ministry of Finance to the Ministry of Culture. Finally, the higher artistic educations were moved from the Ministry of Culture to the Ministry for Research, Innovation and Higher Education., As of the publication of 2019 figures, the designation of case regions has changed compared to before, as it is possible for certain types of payment to define the case region more precisely than before., Read more about comparability, Accessibility and clarity, Payments by the Ministry of Culture is presented on the subject page for , Education, economy and employment in the cultural field, . The results are published annually through a , News, Article from Statistics Denmark and a series of interactive , StatBank, Denmark tables showing i.a. the geographical distribution of payments as well as sums and characteristics of personal and company recipients., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/payments-by-the-ministry-of-culture

      Documentation of statistics

      Documentation of statistics: Social benefits for senior citizens

      Contact info, Personal Finances and Welfare, Social Statistics , Marie Borring Klitgaard , +45 21 55 83 71 , MGA@dst.dk , Get documentation of statistics as pdf, Social benefits for senior citizens 2025 , Previous versions, Social benefits for senior citizens 2024, Social benefits for senior citizens 2023, Social benefits for senior citizens 2022, Social benefits for senior citizens 2021, Social benefits for senior citizens 2020, Elderly - Indicators 2019, Elderly - Indicators 2018, Elderly - Indicators 2017, Elderly - Indicators 2016, Elderly - Indicators 2015, Elderly - Indicators 2014, Elderly - Indicators 2013, Documents associated with the documentation, Kommentarer til 2024 - korte udgaver (xlsx) (in Danish only), Kommentarer til 2025 - korte udgaver (xlsx) (in Danish only), The purpose of these statistics is to display the quality level of municipal services in the elderly care. The statistics are a part of a cross-public cooperation, intended to ensure coherent documentation of important areas of municipal service, as well as to increase the comparability of the services provided in the different municipalities. The statistics are used to determine impact targets, frameworks and results requirements for key management initiatives and are comparable from 2008 onwards. Statistics Denmark is responsible for the composition and publication of the statistics., Statistical presentation, The statistic for 2025 covers data from the first 6 months of 2025. The statistic is an annual survey including a number of national impact- and background indicators which document and describe the quality of the municipal effort at the elderly area. The indicators consist of referral and provided home care, home nursing, nursing homes, exercise services, rehabilitation and preventative home visits. Primarily, the indicators are targeted at the elderly area, however home care, exercise services, home nursing as well as nursing homes also include data for citizens under 67 years., Read more about statistical presentation, Statistical processing, Before publishing data from the municipalities' EOJ system (electronic care journal), tables and figures are developed, which all municipalities are asked to approve. After the approval, Statistics Denmark detects for data errors as missing numbers, abnormal values and etc., Read more about statistical processing, Relevance, The authorities and public institutions and the population use the indicators for analysis, research, debate, etc. The focus is to ensure more valid documentation at the elderly area. This is achieved by retrieving the information directly from the municipalities' care systems (EOJ), which is constantly updated as a part of the municipalities' case management., Read more about relevance, Accuracy and reliability, The municipalities receive control tables, which they are asked to approve. Only approved information is included in the statistics. In the absence of approvals, previous years' information is included in the national totals and averages. For the publication for the first 6 months 2025, between 97 and 98 municipalities are included, depending on the indicator. Lack of approval may be due to the municipality's registration practices, which determine which data is reported, and system or supplier changes, where the reported data may be flawed. There are varying registration practices between municipalities in several areas, which can lead to distortions., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published as pre-advertised. The statistics are released approximately 6 months after the reference period has ended. , Read more about timeliness and punctuality, Comparability, The statistics are generally comparable over time, but there are minor data breaks. The municipalities' change of EOJ provider every five years can affect certain indicators. As of October 1, 2023, new reporting requirements for food service and supplier types resulted in a data break in the statistics on designated home care. Therefore, the figures for 2023 should be compared with previous years with reservations. For hospital usage, there has been no adjustment for the severity of diseases, which affects the comparability between municipalities., Read more about comparability, Accessibility and clarity, The statistics are published in a , Danish press release, . The figures are published in the StatBank under the subject , Social benefits for senior citizens, . See more on the subject page for the , Social benefits for senior citizens, . , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/social-benefits-for-senior-citizens

      Documentation of statistics

      Documentation of statistics: Standardised index of average earnings

      Contact info, Labour Market, Social Statistics , Eva Borg , +45 24 78 53 57 , EVB@dst.dk , Get documentation of statistics as pdf, Standardised index of average earnings 2025 , Previous versions, Standardised index of average earnings 2024, Standardised index of average earnings 2023, Standardized Index of Average Earnings 2021, Standardized Index of Average Earnings 2020, Standardized Index of Average Earnings 2019, Standardized Index of Average Earnings 2018, Documents associated with the documentation, Standardberegnet lønindeks. Metode efter serviceeftersyn 2022-2023 (pdf) (in Danish only), The purpose of the standardised index of average earnings is to estimate the developments in pay levels for employees in Denmark, adjusted to the extent possible for changes in the labour market’s occupational composition, e.g. shifts of employees between industries and/or occupation. The statistics are used for e.g. monitoring of business cycles, regulation of contracts, analyses of developments in pay levels as well as input in the calculation of the National Accounts., The statistics have been prepared since 2018 with data back to the first quarter of 2016. A revised index and time series are published in May 2023 with data back from 2016., In parallel, Statistics Denmark is calculating the implicit index of average earnings. Unlike the standardised index, the implicit index of average earnings does not take changes in the occupational composition into account., Statistical presentation, The standardised index of average earnings is a quarterly estimate of the developments in pay levels for employees in Denmark, adjusted to the extent possible for changes in the occupational composition, e.g. shifts of employees between industries and/or occupation. The statistics show the development in the average hourly earnings for employees by sector, industry (DB07) and main occupation (DISCO-08). Each quarter, an index value and an annual increase are published., Read more about statistical presentation, Statistical processing, Data for these statistics are collected quarterly. For the public sector all payroll information are collected while data are collected via a sample from the private sector. The collected data is validated at an aggregate level for key enterprises (only in the private sector) and at an individual level through a combination of validation rules for the hourly earnings for the individual employment relationship. The hourly earnings are assessed based on sector, industry, main occupation and type of employment. Once data has been validated, base index is calculated for each homogeneous group, which afterwards is aggregated to sub- and total indices at sector, industry or main occupation level., Read more about statistical processing, Relevance, These statistics are relevant for private enterprises and organisations, as well as ministries and other public institutions for analysis, contractual regulation etc. The statistical data are also used in other areas within Statistics Denmark, e.g the calculation of the Danish National Accounts., Read more about relevance, Accuracy and reliability, The accuracy of these statistics are higher for employees in the public sector than in the private sector. The reason for this is that the statistics for employees in the public sector (more or less) consists of all payroll information, while the statistics for employees in the public sector is based on a sample of enterprises. The accuracy of the statistics for the private sector is therefore affected by sampling uncertainty, completeness of the reported information and non-response. The impact on the indices are unknown., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published two months after the end of the reference period. The statistics are released typically without delay according to scheduled dates of publication. , In February 2022, the statistics were paused and a comprehensive service review was initiated. As a result, the method for calculating standardized index of average earnings was revised. This publication therefore contains revised index values and annual increases for the entire period from the first quarter of 2016 until the first quarter of 2023. This means that the series contains revised values from the first quarter of 2016 until the third quarter of 2021 as well as previously unpublished values from the fourth quarter of 2021 until the first quarter of 2023., Read more about timeliness and punctuality, Comparability, The standardised index of average earnings was first published in December 2018 with a time series starting in the first quarter of 2016. The standardised index of average earnings utilize the same data as the implicit index of average earnings, which however has a different purpose and is therefore calculated using a different method. There exist a few sets of statistics abroad that are partly comparable with the standardised index of average earnings. , Read more about comparability, Accessibility and clarity, These statistics are published quarterly 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 the subject , Indices of average earnings, . For further information, visit the subject page for , Income and earnings, . , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/standardised-index-of-average-earnings

      Documentation of statistics

      Documentation of statistics: Income Statistics

      Contact info, Labour Market, Social Statistics , Uwe Pedersen , +45 23 72 65 69 , UWP@dst.dk , Get documentation of statistics as pdf, Income Statistics 2024 , Previous versions, Income Statistics 2023, Income Statistics 2022, Income Statistics 2021, Income Statistics 2020, Income Statistics 2019, Income Statistics 2018, Income Statistics 2017, Income Statistics 2016, Income Statistics 2015, Income Statistics 2014, Income Statistics 2013, Documents associated with the documentation, Imputering af huslejenedsættelser i 2024 (pdf) (in Danish only), The purpose of the income statistics - is to provide statistics on the population's incomes and tax payments as well as the distribution of incomes. The statistics are useful in the field of social sciences and form the basis for effective policymaking in areas that affect the economic situation of the households. Statistics Denmark has published statistics on income since 1905 and has coherent time series going back to the 1980’s., Statistical presentation, The income statistics are based on a full-population register. It contains information on annual incomes at both the personal- and family level as well as data on the distribution of income. The income is available both pre- and post taxes and can be split into subcategories such as primary income, transfers, property income and taxes. In the income statistics the population is divided into groups by age, socio-economic status, gender, municipalities (NUTS-3), type of family and into income intervals., Read more about statistical presentation, Statistical processing, Data is collected and published yearly. The primary source is administrative data from the Danish tax authorities. Using secondary sources from the municipalities and unemployment funds the incomes are subdivided into more detailed types of income. Finally other registers in Statistics Denmark, such as the population register, provide background information., In case of inconsistencies between data sources on the total income amounts, the data are fitted to match the level of the tax authorities, which are assumed to be correct., Read more about statistical processing, Relevance, The primary users of the income statistics are ministries, municipalities, research institutes and the media. An annual meeting with some of the users of the main welfare statistics is held in Statistics Denmark. On a daily basis users call with questions related to the statistics or comment on our publications on social media. Through these interactions with the users we continually assess the need for improvements of the statistics., Read more about relevance, Accuracy and reliability, The quality is in general considered to be very good for the income types included in the statistics as data have been validated by the tax authorities. Undeclared incomes, winnings in lotteries etc. may result in a mismatch between actual and registered income., As the income statistics are based on full-population registers, there are no sampling errors., In 2024 data is extracted in August. Thus revisions after this date will not be taken into account in the income statistics., Read more about accuracy and reliability, Timeliness and punctuality, Most tables on income statistics are published in September, nine months after the end of the income reference year along with the annual newsletter. Socio-economic status, imputed rent, disposable income and income distribution indicators are published in November. , The statistics have usually been published as planned., Read more about timeliness and punctuality, Comparability, The statistics are comparable over time, but special circumstances affect individual years. COVID-19 and aid packages are important in 2020-2021. In 2022, one-off payments due to inflation are included, and in 2024, 1 month's free rent for certain rental housing units is included as housing benefit. Holiday funds give differences compared to the national accounts 2018-2021. The statistics were revised in 2013 with retroactive effect to 1987. Internationally, Eurostat and OECD are the recommended sources, but income concepts vary., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release, at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under the subject , Income and earnings, . For further information, go to the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/income-statistics

      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) 2025 , Previous versions, 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), Weightings 2025 (xlsx), 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: Regional Accounts

      Contact info, Government Finances, Economic Statistics , Ulla Ryder Jørgensen , +45 51 49 92 62 , URJ@dst.dk , Get documentation of statistics as pdf, Regional Accounts 2024 , Previous versions, Regional Accounts 2023, Regional Accounts 2022, Regional Accounts 2021, Regional Accounts 2020, Regional Accounts 2019, Regional Accounts 2018, Regional Accounts 2017, Regional Accounts 2016, Regional Accounts 2015, Regional Accounts 2014, Regional Accounts 2013, Regional Accounts 2012, The purpose of regional accounts is to describe the economic activity in the regions and provinces within the framework of national accounts definitions and classifications. The accounts are compiled in accordance with the guidelines set out in ESA2010 and are comparable with regional accounts for other European countries. Regional accounts are published at the NUTS II level (regions) and NUTS III level (provinces). Regional accounts have been compiled since 1999., Statistical presentation, Regional accounts describe the geographical dimension of production and income conditions as these are compiled in the national accounts using the production approach. The regional allocation aims at adding production etc. to the region where production takes place. , Regional accounts contain information on GDP, gross value added, gross fixed capital formation, compensation of employees and employment. Moreover the household sector's incomes are compiled. The regional allocation of the household income is based on the residence of the households and not where the incomes are earned., Read more about statistical presentation, Statistical processing, The statistics are based on regional versions of the national accounts' sources, where this is possible. The main sources are Accounting Statistics for Non-agricultural Private Sector and General Government Finances Statistics. The sources are used either directly or as a distribution key. The regional accounts are revised in line with the publication rhythm of the national accounts. The final figures for the regional accounts are therefore not available until three years after the end of the reference period., Read more about statistical processing, Relevance, National and regional accounts are relevant for all, who deal with economic and regional matters., Read more about relevance, Accuracy and reliability, Regional accounts are subject to the same margins of uncertainty as the annual national accounts and the inaccuracy here relates to the inaccuracy of the various sources used. However, the conceptual consistency and over time uniform adaptation of the sources contribute to reduce the inaccuracy of the national accounts figures. In particular, the combination of the primary sources into a coherent system in many cases reveals errors, which are therefore not reflected in the final national accounts. With regard to the regional dimension the following factors can be mentioned:, Read more about accuracy and reliability, Timeliness and punctuality, First version of regional accounts is published 12 month after the reference year. Final regional accounts are published 3 years after the reference year. Regional accounts have a high degree of punctuality, Read more about timeliness and punctuality, Comparability, Regional accounts are consistent with the national accounts, as the sum of the figures for each region with respect to each individual variable is equal to the national accounts value for the same variables. Consequently, each variable can be interpreted in the same manner as the national accounts variables. Regional accounts are based on guidelines set out in ESA2010 and are thereby directly comparable with other regional accounts from the EU Member States. Consistent time series are available for 1993 onwards., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release. In the StatBank, these statistics can be found under , National accounts by region, . For further information, go to the , subject page, ., Regional accounts by 38 industries and 11 provinces/5 regions are available (at a charge). Furthermore regional data can be provided (at a charge) for groups of municipalities with a joint population of at least 100.000 inhabitants. In addition GDP and other non-industry data is available for municipalities with a population of at least 10.000 inhabitants., Read more about accessibility and clarity

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

      Documentation of statistics
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