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    Registers and reference types

    Statistics Denmark has gathered a vast series of historical register data in our databank of basic data, which users can access via the platform Denmark’s Data Portal. Research Services manages the databank of basic data and handles access to the platform, support, etc. Most registers in the databank are updated at least once a year in connection with release of the register-based statistics (, see Scheduled releases, ). , The data safari and the List of registers and variables (below) both show the registers in Denmark’s Data Portal, and here you can see variables for the individual registers. The documentation of variables is available in Statistics Denmark’s , documentation system, ., Go to Data safari , Go to List of registers and variables (in Danish),  , Overview of rerun registers (in Danish), Genkørte registre 2025-1. kvt (pdf), Genkørte registre 2024-4. kvt (pdf), Genkørte registre 2024-3. kvt (pdf), Genkørte registre 2024-2. kvt (pdf), Genkørte registre 2024 - 1. kvt (pdf), Genkørte registre 2023 - 4. kvt (pdf), Genkørte registre 2023 - 3. kvt (pdf), Genkørte registre 2023 - 2. kvt (pdf) , Genkørte registre 2023 - 1. kvt (pdf), Genkørte registre 2022 (pdf),  , Reference types, Registers in the basic data overview are compiled by means of different reference types. Next to each register in the basic data overview, you can see which reference type a register has: ’Status’, ’Statusperiode’ (status period), ’Forløb’ (longitudinal) or ’Hændelse’ (incident)., Status, The reference type shows the status for a given date. For example, LONN (structure of earnings), which shows what a citizen earns as of the register date (e.g. 31 December 2021). Or BEF, which shows the population as of the quarter date (including status of residence, age, family, etc.)., Data definition: Clear status as of a given date. The population delimitation and all data content is focused on the date., Status period, This reference type shows the period status, where the population is delimited as of a given date, but the variables contain summed up data for a specific period. For example, IND, which contains the labour income for a year (the period appears from ’Opdateringsfrekvens’ (update frequency) in the basic data overview). Other examples of status period registers: PERSBEST (board members and managers), MFR (medical birth register), HANDICB (financial support for disability cars), DMRB (motor vehicles). It is not always easy to see what is being summed up., Data definition: The population delimitation is made as of a given date, but the content of the variables is accumulated over a given period. The period cannot be deduced from dates in microdata, but from the indicated period (shown under ‘Opdateringsfrekvens’ (update frequency)) – meaning that content in for example amounts, volumes, quantities etc. is aggregated over the indicated period (e.g. a quarter, a year)., Longitudinal, Here, data covers a longitudinal study. There will always be just one version of the register available. For example, UDD, which contains Highest educational attainment. Or BEFADR, which is an address key register (where e.g. 1.4m addresses changed key on 1 January 2007 in connection with the local government reform). When a longitudinal register is updated, the individual dataset is updated. This is why there is always only one dataset for a longitudinal register., Data definition: The definition of longitudinal data is that data contains a start date and an end date., Incident, Here, data covers an incident. For example, UDFK, which contains primary and lower secondary school marks (does not include a date but a school year), or OPHGIN (basis of right of residence for immigrants). When a longitudinal register is updated, the individual dataset is updated with new incidents. This is why there is always only one dataset., Data definition: The definition of incidents is first and foremost that data contains a date - only one date - for the occurrence of the incident, and will usually also have one incident type attached., Documentation for the use of registers, Statistics Denmark has prepared a memo describing the coherence between several of the most used registers in Statistics Denmark’s microdata scheme and their connection with the published statistics., The social statistics registers in Statistics Denmark consist of comprehensive data collections, which have been built and extended since the early 1980s. Data is of high quality and comprises the whole population. This gives the users of data unique possibilities of analysis, allowing them to analyse both status at a given point in time and the development over time., The memo is primarily intended for researchers, analysts and other users of microdata who want to obtain deeper insight into the quality of the coherence between the different registers. , Read more on Documentation for the use of registers (in Danish), Especially on the Data Warehouse for Business Statistics, In January 2024, Statistics Denmark launched the new Data Warehouse for Business Statistics – a significant extension and improvement of the existing business registers. , The new warehouse ensures wider and better access to anonymised data on enterprises and facilitates extraction of unique data by linking data across more statistical registers. The data warehouse also facilitates linking of business statistics and social statistics at micro level, the so-called ‘Linked Employer-Employee Data’ (LEED). , Read more in , this brochure (pdf), or see , the presentationen of The Data Warehouse for Business Statistics on 30 November 2023 (pdf), .

    https://www.dst.dk/en/TilSalg/data-til-forskning/generelt-om-data/registre-og-referencetyper

    Documentation of statistics: Financial accounts for general government

    Contact info, Government Finances, Economic Statistics , Jacob König , +45 40 40 58 41 , COB@dst.dk , Get documentation of statistics as pdf, Financial accounts for general government 2025 , Previous versions, Financial accounts for general government 2023, Financial accounts for general government 2022, Financial accounts for general government 2021, Financial accounts for general government 2020, Financial accounts for general government 2019, Financial accounts for general government 2018, Financial accounts for general government 2017, Financial accounts for general government 2016, Financial accounts for general government 2015, Financial accounts for general government 2014, The purpose of the quarterly financial accounts for general government is to present a detailed picture of the holdings, transactions (buying and selling), other changes in volume and revaluations of financial assets/liabilities by financial instruments., To ensure international comparability the statistics comply with the European System of Accounts - ESA 2010., The annual financial accounts for general government has been published since 2001 while the quarterly financial accounts has been published since June 2002. The statistics is available from Q1 1995 and onwards., Statistical presentation, Quarterly financial accounts make up a consistent system, showing the financial flows and net worth of the general government sector of the economy over time. The financial accounts for the general government sector, the financial (transactions) account, which shows buying and selling of financial instruments, describes an important part of the transition from the opening balance sheet account to the closing balance sheet account. Because the financial instruments are valued at market price, another important part of the transition is made up by revaluations, which are shown in the revaluation account. The remaining part is found in the account of other changes in volume, showing e.g. losses on debtors and relocations of units between sectors. As a general rule opening balance sheet + financial transactions + revaluations + other change in volume = closing balance sheet should always hold. When published the revaluation account and the account of other change in volume are combined. The statistics is published both consolidated and unconsolidated and with counterpart information for the domestic and foreign sector, respectively. The economic measures and consequences of the COVID-19 pandemic affects the financial accounts for the general government, but the data quality is not significantly reduced., Read more about statistical presentation, Statistical processing, The main sources are the accounts of central and local government as well as social security funds. Additional information are received from, among others, the Central Bank. , Data are mainly received on a quarterly basis and validated using other data sources and, when necessary, directly with the data providers., The financial accounts for general government has with the compilation of Q2 2020 been revised for the period 2017-2020 as part of a major collaboration with Danmarks Nationalbank on the overall financial accounts for Denmark., Read more about statistical processing, Relevance, The users of , Quarterly financial accounts, are primarily expected to be Danmarks Nationalbank, financial institutions, economic ministries, lobby organizations, financial analysts (in general for the purpose of analysis, forecasting and modeling)., Read more about relevance, Accuracy and reliability, The quarterly financial accounts are based on a number of sources that may be influenced by a certain degree of inaccuracy, which may affect the quarterly financial accounts. Because of the consistency checks and the data confrontations carried out, the influence of the inaccuracy of the sources is, however, reduced., In principle, it is not possible to measure the level of inaccuracy. However, the net lending/net borrowing across the general government sector, which are calculated before the final balancing is carried out, are comparable with the same measure in the non-financial accounts. The differences can be regarded as a measure of accuracy for the national accounts as a whole., Read more about accuracy and reliability, Timeliness and punctuality, Data is published approximately at t+3 months., High degree of punctuality: Data has been published at the announced time since the first publication in 2003., Read more about timeliness and punctuality, Comparability, Comparison over time is high as there are no significant breaks in the time series, and none at all for the last 10 years., Internationally the level of comparison is high as the Danish national accounts follow the ESA 2010 guidelines., Read more about comparability, Accessibility and clarity, Current publications: The statistics are published in , News from Statistics Denmark (Nyt fra Danmarks Statistik, ), and in the series , Statistical News (Statistiske Efterretninger), ., Yearbooks:, Statistical Yearbook (Statistisk Årbog), and , Statistical Ten-year Rewiev (Statistisk Tiårsoversigt), ., http://www.Statbank.dk: Annually financial accounts and Quarterly financial accounts for the general government sector (updated quarterly) (OFF13 and OFF22)., Subject page: , Financial accounts, government finance, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/financial-accounts-for-general-government

    Documentation of statistics

    Documentation of statistics: Government Finance Statistics

    Contact info, Government Finances, Economic Statistics , Martin Rune Rasmussen , +45 24 77 42 71 , mra@dst.dk , Get documentation of statistics as pdf, Government Finance Statistics 2025 , Previous versions, Government Finance Statistics 2024, Government Finance Statistics 2023, Government Finance Statistics 2022, Government Finance Statistics 2020, Government Finance Statistics 2019, Government Finance Statistics 2018, Government Finance Statistics 2017, Government Finance Statistics 2015, Government Finance Statistics 2014, Government Finance Statistics 2013, The purpose of the statistics General government finances is to give a overview over expenditure and revenue in the general government sector. The statistics is used to analyze the public economy. Data are available and comparable from 1971 and onward., General government statistics have undergone a benchmark revision since the last publication. In this benchmark revision, the statistics for public finances have been revised back to 1971. The benchmark revision is a pan-European project that is carried out every 5 years. The purpose of the revision is to incorporate new knowledge and new methods and to ensure uniform calculation methods for all countries., This main revision of the public finance statistics has had no notable effect on public consumption, while the net lending/borrowing for general government has improved to a lesser extent. , Statistical presentation, General government finances monitor current and capital expenditure/revenue for the general government on a yearly basis. The statistics is divided into subsectors., Read more about statistical presentation, Statistical processing, The data is collected continuously in the months before the publication from the public account 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, news media and Eurostat. The statistics provide input to national accounts statistics. The statistics often gets a lot of attention in the media and amongst other professional users., Read more about relevance, Accuracy and reliability, Misclassification due to insufficient information about the contents of a given account can occur. In provisional accounts, the government's value added tax expenses are divided at the level of accounting items. Ii all versions in t+1 provisional tax-estimates are used. Subsidy accounts can be classified with some inaccuracy because it is not always possible to define the recipient of the subsidy. Reserves and budgets adjustments: This extra paragraph covers both earmarked and widely defined reserves. The widely defined reserves are often considerable amounts and are difficult to define. Whenever possible, Statistics Denmark collects supplementary information on these reserves. An estimation of tax revenue charged by General Government is used., Read more about accuracy and reliability, Timeliness and punctuality, The March version is published one week after the publication of the central government accounts. The June version is published three month after the publication of the central government accounts. The statistic is usually published without delay in regards to the announced time., Read more about timeliness and punctuality, Comparability, Accounts for general government are compiled using international principles, which implies a high degree of comparability over time and between other Danish national accounts statistics as well as international government finance statistics, 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 the subject , Expenses and revenues of general government, . For further information, go to the , subject page, ., Read more about accessibility and clarity

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

    Documentation of statistics