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      Documentation of statistics: Personal income taxes

      Contact info, Government Finances , Ida Balle Rohde , +45 61 24 24 85 , ILR@dst.dk , Get documentation of statistics as pdf, Personal income taxes 2023 , Previous versions, Personal income taxes 2022, Personal income taxes 2021, Personal Income Taxation 2020, Personal Income Taxation 2019, Personal Income Taxation 2014, Personal Income Taxation 2013, The purpose of the statistics Personal income taxation is to give information about tax bases, tax calculations and the various tax concepts, and also give a description of provisional and final tax. The statistics cover income taxes from 1994 and is published yearly in September. The statistics were first published in 1903, but in its current form the statistics cover every year from 1994 onwards., Statistical presentation, The statistics is a yearly account of personal income- and wealth taxes, as they are in the final assessment. The statistics give information about tax bases, tax calculations and the various tax concepts., Read more about statistical presentation, Statistical processing, Data is extracted annually from the Danish Tax Agency. Not all taxable persons are included in the data extract, so income tax is calculated for the missing persons, so that it is possible to describe the development for all taxable persons in Denmark. The validation takes place by comparing the level of total income taxes in relation to the previous year, where both business tendencies and possible tax rate changes are taken into account., Read more about statistical processing, Relevance, The statistics are part of the general economic debate. The statistics is in demand from ministries, politicians, public and private institutions, researchers, enterprises and news media. The statistics often get a lot of attention in the media and amongst other professional users., Read more about relevance, Accuracy and reliability, In the first dissemination of the statistics, some information for some taxpayers is missing. The tax payments of these persons are therefore calculated to give an overall picture of the development in income taxes for persons. Also in the final version of the statistics, some taxpayers' information is missing, the statistics therefore contain calculated figures. In the preliminary versions of the statistics some tax types are corrected for biases, as these tax types are potentially underestimated in relation to the final value., Read more about accuracy and reliability, Timeliness and punctuality, The Statistics are published yearly in November. The first version of the preliminary income taxes is published in November after the end of the income year. The final income taxes are published in November, three years after the end of the income year in question. Publications are released on time, as stated in the release calendar. , Read more about timeliness and punctuality, Comparability, The statistic were first introduced in 1903. The tax reform in 1987 changed both income and deduction concepts. From 1987, the numbers were split into personal income, capital income, and deductions instead of gross income and deductions. The taxation structure differs greatly across countries, which makes international comparison difficult. , Read more about comparability, Accessibility and clarity, These statistics are published annually in a Danish press release. In the StatBank the figures are published under , Personal income taxes, . , Read more about accessibility and clarity

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

      Documentation of statistics

      Documentation of statistics: Corporate Taxation

      Contact info, Government Finances, Economic Statistics , Ida Balle Rohde , +45 61 24 24 85 , ILR@dst.dk , Get documentation of statistics as pdf, Corporate Taxation 2023 , Previous versions, Corporate Taxation 2022, Corporate Taxation 2021, Corporate Taxation 2020, Corporate Taxation 2018, Corporate Taxation 2016, Corporate Taxation 2013, Corporate Taxation 2012, The purpose of the statistics Corporate taxation is to shed light on trends in companies' taxable income and tax payments. The statistics cover the period from from 1996 and is published yearly in March. The statistics were first published in 1922 and the method used for calculating the corporate tax has not changed since the first publication. , Statistical presentation, The statistics are an annual account of the taxable income and tax for all companies. The statistics provide information about how many companies that actually pay corporate tax in Denmark. The statistics are shown by type of company and type of industry. The tax is divided by industry and type. , Read more about statistical presentation, Statistical processing, Data is received annually from the Danish Tax Agency. The companies’ information is combined and checked for consistency between a tax declaration part, an assessed part, a joint taxation part, and a deficit part. The validation takes place by comparing the level of the total corporate taxes in relation to the previous year, where both business tendencies and possible tax rate changes are taken into account., Read more about statistical processing, Relevance, The statistics are part of the general economic debate. The statistics are 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 among other professional users., Read more about relevance, Accuracy and reliability, The statistics cover all taxable companies. The data are subject to error detection and results control before publication. Error are corrected in collaboration with the Danish Tax Agency. In general, companies have great incentive to report on time, as they otherwise have to pay a tax supplement. The tax can unpredictably either increase or decline, which is impossible to correct for. The unpredictable changes occurs among other things because of errors in either taxable income or a long review time and process. The corrections are allocated to the relevant year., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published in March year two after the income year. The finalised corporate taxes are published in March year three after the income year. The statistics are usually published without delay in respect to the scheduled time. , Read more about timeliness and punctuality, Comparability, The statistics were published for the first time in 1922 and the method for computing the tax has not changed – only the tax rate has changed. The taxation systems vary widely across countries, both in terms of conceptual and computational differences which makes the comparison difficult. The statistics are used when computing the overall surplus (Net lending / net borrowing) in government finance statistics. , Read more about comparability, Accessibility and clarity, The statistics are published annually in a Danish press release. In the StatBank the figures are published under , Corporation taxation, Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/corporate-taxation

      Documentation of statistics

      Documentation of statistics: Real property taxes

      Contact info, Government Finances, Economic Statistics , Ida Balle Rohde , +45 61 24 24 85 , ILR@dst.dk , Get documentation of statistics as pdf, Real property taxes 2024 , Previous versions, Real property taxes 2023, Real property taxes 2022, Real property taxes 2021, Real property taxes 2020, Taxation of Real Property 2014, Taxation of Real Property 2013, The purpose of the statistics Property Taxation is to show the development in property taxes and their allocation to municipalities. The detailed property tax statistics has existed since 1937. Before 1937, property tax statistics was also published statistics on property taxation, albeit at a more aggregated basis. The current form of the statistics is comparable from 2007 and onwards., Statistical presentation, The statistics are a yearly overview of the Danish property taxation. The statistics show the distribution of property taxes to municipalities as well as type of tax (land tax and reimbursement duties). , Read more about statistical presentation, Statistical processing, The statistics is based on data from the Property Statistics Register. The register is based on information from two sources: an assessment part from the Danish Property Assessment Agency and a tax part from KMD. The data is validated against last year's data and against budget figures for the given year, as well as information on which municipalities that has changed their land tax rate. Data are used without further treatment for the publication., Read more about statistical processing, Relevance, The statistics are part of the general economic debate. 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 statistics has only a few sources for uncertainty. Property Statistics Register, which is the foundation for the finalized numbers, consists of two sources: an assessment part from the Danish Property Assessment Agency and a tax part from KMD. Since the parts are not updated at the same time, there may be slight discrepancies in the data between the two parts. The official real estate valuations also causes some uncertainty. This is because these valuations, which is the basis for computing the valuation (public assessment) and land value, have been frozen since 2013. , Read more about accuracy and reliability, Timeliness and punctuality, The Statistics are published yearly in November in the income year, where final data is published. Publications are released on time, as stated in the release calendar. , Read more about timeliness and punctuality, Comparability, The census has been conducted since 1937, but changes in municipal and county compositions makes comparisons over time difficult. However, in its current form the statistics is comparable from 2007 and onwards. The taxation systems differ widely across countries, which makes the international comparison difficult based on national sources because of concept and calculation differences. The statistics is the basis for determining the property taxes in government finance statistics. , Read more about comparability, Accessibility and clarity, These statistics are published annually in a Danish press release. In the StatBank the figures are published under , Real property taxes, . Information about the statistics can be found on the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/real-property-taxes

      Documentation of statistics

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

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

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

      Documentation of statistics

      Documentation of statistics: Local Government Personal Income Taxation and Church Tax

      Contact info, Government Finances , Ida Balle Rohde , +45 61 24 24 85 , ILR@dst.dk , Get documentation of statistics as pdf, Local Government Personal Income Taxation and Church Tax 2025 , Previous versions, Local Government Personal Income Taxation and Church Tax 2024, Local Government Personal Income Taxation and Church Tax 2023, Local Government Personal Income Taxation and Church Tax 2022, Local Government Personal Income Taxation and Church Tax 2021, Local Government Personal Income Taxation and Church Tax 2015, Local Government Personal Income Taxation and Church Tax 2014, The purpose of Local government personal income taxation and church tax is information on the development in these taxes as they are decided by the local governments by the 15th of October the year before the relevant income year. The Statistics was first time published in 1927, but in its current form the statistics covers and is comparable from 2007., Statistical presentation, The statistics show the development in local government personal income tax rates and church tax rates as determined by the local authorities in each municipality., Read more about statistical presentation, Statistical processing, The statistics is based on reports from the local authorities to the Ministry of the Interior. The published budget figures also form the basis for the amount of advance payments transferred from the central government to the municipalities. The collected material is validated against last year’s data as well as information regarding which municipalities have changed their tax rates. There are no further corrections of data., Read more about statistical processing, Relevance, The statistics are part of the general economic debate. 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 statistics have no sources of statistical uncertainty of importance. This is because local government income taxes is determined by a financial agreement between Local Government Denmark (KL) and the government. Afterwards, both KL and the Ministry of the Interior check and verify the numbers. It is not allowed to make changes the foundation for the local government income taxes once it have been approved, which is also why there are no revisions of the statistics., Read more about accuracy and reliability, Timeliness and punctuality, Data are published in the end of November in the year before the income year. The statistics only contain final figures. The statistics are usually published on the scheduled date without delays., Read more about timeliness and punctuality, Comparability, The statistics was published for the first time in 1927. However, changes to both the municipality as well as country structure makes the comparison across time difficult. The current structure makes it possible to compare from 2007 and onwards. The taxation systems differ widely across countries, which makes the geographical comparison difficult based on national sources because of concept and calculation differences., Read more about comparability, Accessibility and clarity, These statistics are published annually in a Danish press release. In the , StatBank, the figures are published under Personal income taxes. For further information, go to the subject page for , taxes and duties, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/local-government-personal-income-taxation-and-church-tax

      Documentation of statistics

      Documentation of statistics: International Trade in Services

      Contact info, External Economy, Economic Statistics , Selma Mustafic Mulalic , +45 23 69 46 64 , smu@dst.dk , Get documentation of statistics as pdf, International Trade in Services 2024 , Previous versions, International Trade in Services 2023, International Trade in Services 2022, International Trade in Services 2021, International Trade in Services 2020, International Trade in Services 2018, International Trade in Services 2017, International Trade in Services 2016, International Trade in Services 2015, International Trade in Services 2014, Documents associated with the documentation, Omlægning af tabeller om betalingsbalance og udenrigshandel i statistikbanken den 10. juni 2024 (pdf) (in Danish only), Foreign trade in services describes the trade in services (imports and exports) with other countries. The trade is described both in terms of type of services and in terms of partner country/area. The statistics were introduced in connection with the termination of the settlement statistics in Danmarks Nationalbank by new-year 2004/05, cf. Balance of payments. , Statistical presentation, The statistics show Denmark's imports and exports of services from/to other countries distributed on partner countries and approx. 70 service categories. , Read more about statistical presentation, Statistical processing, Data is collected every month. The data is screened for obvious and likely errors. The completeness of the reports is checked. The data is used for compiling the statistics through a process of grossing up for the trade not covered. The statistics is accordingly to be considered to completely cover the Danish foreign trade in services., Read more about statistical processing, Relevance, The International trade in services statistics constitute an essential part of the balance of payments statistics and of the rest-of-the-world account of national accounts. The statistics are occasionally commented upon in the public debate. , Read more about relevance, Accuracy and reliability, In the first release of the figures for foreign trade in services there will be a certain degree of uncertainty as a minor part of the data has either not been reported yet or has errors to a degree that it cannot be included in the release. In these cases data will be supplemented by estimations. The reliability of the figures for a given quarter increases in later releases. The final figures are to be considered as fairly reliable, to a decreasing degree though the more detailed level that is applied., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published every quarter approx. 40 days after the end of the reference period and are normally published without delays as to the preannounced dates.., Read more about timeliness and punctuality, Comparability, The International trade in services statistics are compiled according to international standards. Accordingly they are comparable with the statistics of other developed countries., 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 , International trade in services, . For further information, go to the , subject page, . , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/international-trade-in-services

      Documentation of statistics

      Documentation of statistics: Producer Price Index for Services

      Contact info, Prices and Consumption, Economic Statistics , Nicklas Milton Elversøe , +45 61 15 35 98 , NEL@dst.dk , Get documentation of statistics as pdf, Producer Price Index for Services 2025 , Previous versions, Producer Price Index for Services 2024, Producer Price Index for Services 2023, Producer Price Index for Services 2021, Producer Price Index for Services 2020, Producer Price Index for Services 2019, Producer Price Index for Services 2018, Producer Price Index for Services 2017, Producer Price Index for Services 2016, Producer Price Index for Services 2015, Producer Price Index for Services 2014, The purpose of these statistics, is to analyze price trends in the first stage of commercial transaction of services, i.e. producers' selling prices to other producers (business to business), ex VAT. These statistics have been compiled since 2006., Statistical presentation, The , Producer Price Index for Services, is a quarterly measurement of service prices relating to the first commercial transaction (business to business), for the domestic market and export. The statistics contains a number of service price indices in different industries, e.g. price indices for transport services, consultancy services and cleaning services etc. , Read more about statistical presentation, Statistical processing, Approx. 2.300 prices are collected quarterly from selected companies in Denmark in order to calculate these indices. Prices are collected through an electronic questionnaire. The prices are automatically validated during the collecting process and changes that are greater than a predetermined threshold value, are checked manually by the staff. The Price indices are calculated in a hierarchical system, where the first calculation is made for the most detailed industries, i.e. elementary indices. These elementary indices are calculated based on a number of , basic prices, , as geometric Jevons Indices. The elementary indices are subsequently weighted together as aggregated price indices. These are calculated as arithmetic Laspeyres indices., Read more about statistical processing, Relevance, The , Producer Price Index for Services, serves as a deflator, key economic indicator and a contract regulation tool. The primary users of the statistics are the Danish National Accounts plus an array of public and private sector decision-makers. The statistics meet all the requirements of the EU in terms of industry coverage, aggregation level, frequency and publication date, etc., Read more about relevance, Accuracy and reliability, The prices covered by the data collection have a direct coverage of approximately 70 percent of total revenue within the selected services. The weight base also covers the main part of all trade in the first turnover, within the demarcation of the statistics, and there is constant monitoring of the quality of the sample. The sample is not extracted simply randomly, so no measure of sample error is able to be produced. , Only final figures are published. , In general, the producer price index for services is not assessed to have increased uncertainty as a result of Covid-19, as the data collection and thus the lapse has been largely unchanged as Follow of the crisis. But a single industry has been affected, which you can read more about less than "Non-sampling error"., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published quarterly, approx. 1,5 months after the end of the reference period, as far as possible on the 15th of the month or the first business day thereafter. Publications are released on time, as stated in the release calendar. , Read more about timeliness and punctuality, Comparability, The , Producer Price Index for Services, can be found as a time series from 2006 to present. The statistic follows international standards and is therefore comparable with similar statistics from other European countries., Read more about comparability, Accessibility and clarity, These statistics can be found in the StatBank, under the subject , Producer Price Index for Services, . For further information, go to the , subject page, ., Read more about accessibility and clarity

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

      Documentation of statistics

      Documentation of statistics: International Trade in Goods by Enterprise Characteristics

      Contact info, External Economy , Søren Burman , +45 30 51 45 62 , SBU@dst.dk , Get documentation of statistics as pdf, International Trade in Goods by Enterprise Characteristics 2022 , Previous versions, International Trade in Goods by Enterprise Characteristics 2021, International Trade in Goods by Enterprise Characteristics 2019, International Trade in Goods by Enterprise Characteristics 2018, International Trade in Goods by Enterprise Characteristics 2017, The purpose of Trade in Goods by Enterprise Characteristics (TEC) is to describe enterprises engaging in foreign trade, how large they are, which economic sector they belong to, how many countries they trade with etc. These statistics have been compiled since 2010 are comparable until 2018 for legal units. From 2019 and onwards the statistics have been compiled on the basis of the enterprise unit., Statistical presentation, Trade in Goods by Enterprise Characteristics is an annual measurement of enterprises involved in foreign trade and their characteristics, stated in number of enterprises and value. The statistics are grouped by economic activity, enterprise size, partner countries, ownership, type of trade and concentration of trade until 2022. From 2023 the statistics will be a measurement of enterprises involved in foreign trade and their characteristics, stated in value and they will be grouped by economic activity, items, enterprise size and ownership. The statistics can be found in our statbank under the subject External Economy. , Read more about statistical presentation, Statistical processing, These statistics are compiled by combining data for International Trade in Goods (ITGS) with Business register data. Data is validated by comparing data with the sources used for compiling the statistics and by comparing the different tables compiled in this statistic., Read more about statistical processing, Relevance, These statistics are relevant for analysts and enterprises, for analyses of e.g. globalization and enterprises which contribute to external trade in Denmark., Read more about relevance, Accuracy and reliability, The accuracy for International Trade in Goods by Enterprise Characteristics is closely related to the accuracy of International Trade in Goods Statistics which is high on an aggregated level. The revisions follow the revision structure of International Trade in Goods Statistics., There may be changes in enterprise characteristics (e.g. size, industry and ownership) during a given year, which can give rise to a change the trade flows, but the statistics reflect the characteristics at the end of the year., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published 10 months after the reference period. They are published without any delays., Read more about timeliness and punctuality, Comparability, These statistics have been disseminated since 2014 and contains values from 2010 and onwards. It is in its present form comparable from 2010 and onwards. These statistics are compiled according to common European guidelines and are therefore comparable with statistics from other EU countries published by Eurostat. The comparability can be influenced by the difference between the general- and special trade system., Read more about comparability, Accessibility and clarity, These statistics are published annual 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 , International Trade in Goods, . The statistics can also be found in various publications and analysis’ and it is possible to gain access to microdata through our program for authorized research institutions., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/international-trade-in-goods-by-enterprise-characteristics

      Documentation of statistics

      Documentation of statistics: Sales of real property

      Contact info, Prices and Consumption, Economic Statistics , Jakob Holmgaard , +45 24 87 64 56 , JHO@dst.dk , Get documentation of statistics as pdf, Sales of real property 2024 , Previous versions, Sales of real property 2023, Sales of real property 2022, Sales of real property 2021, Sales of real property 2020, Sales of real property 2019, Sales of real property 2018, Sales of real property 2017, Sales of real property 2016, The statistics for Sales of real estate property measure the number of sales and prices of transactions of Danish real estate properties. The statistics are used for monitoring developments in the real estate market, as well as economic developments. The current price indices link back to 1992. There are price indices for previous years, but there are methodological differences., Statistical presentation, This statistics are published monthly including price and volume trends in real estate transactions, such as one-family houses, owner-occupied flats, agricultural properties and business properties. These statistics contain key figures broken down by category of real estate property, region, type of transfer, price index and period. The statistics include all registered real estate transactions, which include land, both newly built and existing properties., Read more about statistical presentation, Statistical processing, Data concerning the registration of ownership of real estate properties is collected on a monthly basis from the electronic land registration system via Datafordeleren. The data is checked for errors by Statistics Denmark. The individual real estate transactions are divided according to category of real property, region, type of transfer and period. Aggregated figures are then calculated for number of sales, average prices and the ratio between purchase price and appraisal value (spar-value). Finally, the price index is calculated., Read more about statistical processing, Relevance, There is a great interest for the published numbers among users, which follows the currently economic business cycle. The statistics of sales of real properties are relevant for the banking- and financial sector, real estate agents, politicians, researchers and the news media. The users consider the statistics for sales of real estate properties as an important economic indicator. The statistics have a high profile in the press and among other professional users., Read more about relevance, Accuracy and reliability, The precision of the price development is the result of the quality of the appraisals and of the assumptions in the SPAR-method, which seeks to correct the quality of the sold properties in order to measure the pure price development. There is no significant bias in the preliminary figures for the price development, while the preliminary figures for the average prices are underestimated, as they are not corrected for the bias in the registration pattern., Read more about accuracy and reliability, Timeliness and punctuality, The statistics for sales of real property publish preliminary quarterly and annual figures 3 months after the end of the reference period. Monthly figures are published only as final figures. Final figures are available 13 months after the end of the reference period. The statistics are published without delays in the planned releases. , Read more about timeliness and punctuality, Comparability, Comparable house sales statistics for all EU member states can be found on the , Eurostats website, where figures are published around 100 days after the end of a quarter (reference period)., Read more about comparability, Accessibility and clarity, The statistics for sales of real properties is published in , News from Statistics Denmark, . Detailed figures can be found in , StatBank, and in the [Online payment data bank](https://www.dst.dk/betalingsdatabank. Historical figures can be found in the publication series , Ejendomssalg, . , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sales-of-real-property

      Documentation of statistics

      Documentation of statistics: Sales of housing cooperatives

      Contact info, Prices and Consumption, Economic Statistics , Jakob Holmgaard , +45 24 87 64 56 , JHO@dst.dk , Get documentation of statistics as pdf, Sales of housing cooperatives 2024 , Previous versions, Sales of housing cooperatives 2022, The purpose of the statistics for cooperative housing is to monitor the price development in the property value of the cooperative housing units traded. The statistics has been produced since November 2023 and covers the period from 2015Q1 and onwards and it is comparable throughout the entire period., Statistical presentation, The statistics for cooperative housing is a quarterly price index for the property value of the cooperative housing units traded. The statistics contains price indices to describe the price development over time and numbers for the use of different valuation principles. The statistics includes all traded cooperative housing units that have been registered through http://www.andelsboliginfo.dk. This registration has been mandatory for the cooperative housing associations since June 1st 2021., Read more about statistical presentation, Statistical processing, Key figures on cooperative housing associations and cooperative housing units are reported to Statistics Denmark through http://www.andelsboliginfo.dk on a quarterly basis. The collected data is validated by Statistics Denmark and enriched with data from the Danish Buildings and Dwellings Register which is altså validated. Finally, price indices and the distribution of valuation principles are calculated., Read more about statistical processing, Relevance, Cooperative housing units constitutes 8 pct. of all housing units in Denmark and there are more than 210.000 cooperative housing units nationally. More than a third of apartment buildings in Copenhagen are cooperative housing which is a larger share than for the owner-occupied housing. The price development on the cooperative housing market is thus highly influential on the prices for the remaining housing market., Read more about relevance, Accuracy and reliability, The precision of the calculated price development depends on the hedonic regression which ensures the quality correction of the cooperative housing units sold and on the collected data. The development in the choice of valuation principles in the data from 2015 and onwards is assessed to be fairly accurate., The statistics for cooperative housing is based on information from http://www.andelboliginfo.dk which is a register of sold cooperative housing in Denmark. Thus, the reliability of the preliminary figures is assessed to be acceptable. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics on cooperative housing publishes preliminary quarterly figures two months after the end of the reference period. It has not been decided when the figures are final. The statistics on cooperative housing is published without delay with regards to the planned publications., Read more about timeliness and punctuality, Comparability, Comparable house sales statistics for all EU member states can be found on the , Eurostats website, where figures are published around 100 days after the end of a quarter (reference period)., Read more about comparability, Accessibility and clarity, The statistics for cooperative housing is published on a quarterly basis in the Statbank and yearly in , Nyt fra Danmarks Statistik, along with the publication of the 4th quarter., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sales-of-housing-cooperatives

      Documentation of statistics
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