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      Documentation of statistics: Health care expenditures (SHA)

      Contact info, Government Finances, Economic Statistics , Marianne Ahle Møller , +45 24 66 00 28 , MNM@dst.dk , Get documentation of statistics as pdf, Health care expenditures (SHA) 2024 , Previous versions, Health care expenditures (SHA) 2023, Health care expenditures (SHA) 2022, Health care expenditures (SHA) 2021, The statistics shows consumption expenditures on health care goods and services distributed across function, provider and financing scheme. The statistics follow the international manual System of Health Accounts (SHA2011), which is made in collaboration between OECD, Eurostat and WHO. The statistics are included in OECD's annual publication Health at a Glance. Data are consistent and comparable for the entire time period. , Statistical presentation, Health care expenditures is an annual and three-dimensional statistics of health care consumption expenditures in Denmark. The consumption expenditures are distributed across different health functions, providers and financing schemes, which makes it possible to identify what is consumed, where it is consumed, and who has financed the consumption. The statistics is shown in millions DKK., Read more about statistical presentation, Statistical processing, Data for this statistic are collected annually from a number of both internal and external sources using data extracts and data deliveries. The collected data are validated on a macro level by controls of time series and different reasonableness checks. When data have been validated, the classification according to SHA2011 begins followed by imposed weights gathered from supplementary sources. Lastly, data are integrated and compiled into the final result. , Read more about statistical processing, Relevance, The statistic is relevant for professionals and analysts. The statistic is included in the annual publication by OECD , Health at a Glance, and will be launched in OECD's database OECD.Stat. Professionals and analysts use the statistics to get a detailed overview of the consumption of health services in Denmark. , Read more about relevance, Accuracy and reliability, The overall accuracy of the statistics is considered to be high, as the primary data sources is constituted by the general government finances. However, there are uncertainty associated with the use of a few supplementary sources such as the Household Budget Survey. Moreover, misclassifications can occur as it can be difficult to determine whether some areas are within the scope of the SHA. This implies that the uncertainty increases with the level of detail. The accuracy is therefore highest for the overall SHA-categories., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published for the first time four months after the end of the reference period and without delays in relation to planned release times. , Read more about timeliness and punctuality, Comparability, The reporting burden to the OECD, Eurostat, and WHO was acquired from the Ministry of Health in July 2019. The statistic produced according to European guidelines in relation to the manual , System of Health Accounts (SHA2011), . The statistics are fully comparable over time and across countries for the entire time period., Read more about comparability, Accessibility and clarity, The statistics is published in , New from Statistics Denmark, and in the StatBank under , Health care expenditures, . For more information see the , subject page, . In addition, the figures are included in OECD's annual publication , Health at a Glance, . Moreover, data is published by OECD, Eurostat and WHO. , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/health-care-expenditures--sha-

      Documentation of statistics

      Documentation of statistics: Educational expenditure (UOE Finance)

      Contact info, Government Finances, Economic Statistics , Marianne Ahle Møller , +45 24 66 00 28 , MNM@dst.dk , Get documentation of statistics as pdf, Educational expenditure (UOE Finance) 2023 , Previous versions, Educational expenditure (UOE Finance) 2022, Educational expenditure (UOE Finance) 2020, Educational expenditure (UOE Finance) 2019, Educational expenditure (UOE Finance) 2018, The purpose of the statistics is to show how education expenditures are distributed across source of funding, expenditure type, type of institution along with the level of education. The statistic is based on international standards for education expenditures by the manual UOE data collection on formal education (UOE2020) , which is developed by UNESCO, OECD and Eurostat. The statistic is used as an input to OECD's publication Education at a Glance, which compares educational systems across countries. The statistics are developed from finance year 2016 and onwards. Data is consistent and comparable throughout the entire period. , Statistical presentation, The statistic is an annually two-dimensional publication of education expenditures, which shows the consumption of education seen from the perspective of both sources of funding and educational institutions. The statistic is calculated in DKK millions and divided across financing sources, expenditure type, type of institutions and education level. , Read more about statistical presentation, Statistical processing, Data for this statistics is collected annually from a number of both internal and external sources using data extracts and data deliveries. The collected data is validated on a macro level by controls of time series and different reasonableness checks. When data have been validated, the classification according to UOE2020 begins following by imposed distributions based on student data gather internally from Statistics Denmark. Lastly, data is integrated and complied into the final result. , Read more about statistical processing, Relevance, The statistic is relevant for professionals and analysts. The statistic is included in the annual publication by OECD Education at a Glance and will be launch in OECD's database OECD Data Explorer along with Eurostat. Professionals and analysts use the statistics to get a detailed overview of the expenditure to education across education levels and the funding of those in Denmark. , Read more about relevance, Accuracy and reliability, The overall accurancy of the statistics i considered to be high, as the primary data sources is contributed by the general government finances. However, there are uncertainty associated with the funding of households and international sources to education. Moreover, misclassifications can occur as it can be difficult to determined whether some areas are within the scope of UOE2020. The detail level from annual reports used for private tertiary educations are fraught with uncertainty because of the overall coding. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 11 months after the end of the reference period and are published without delays in relation to planned release times., Read more about timeliness and punctuality, Comparability, The statistic follow common European guidelines in the manual UOE data collection on formal education (UOE2020). The statistic is fully comparable across time and countries for the entire published time period. Previously the reporting burden to UNESCO, OECD and Eurostat was acquired from the National Agency of IT and Learning under the Ministry of Children and Education. , Read more about comparability, Accessibility and clarity, The statistic is published in New from Statistics Denmark and in the StatBank under , Education expenditures, . For more information see the , subject page, . In addition, the figures are included in OECD's annual publication , Education at a Glance, . Moreover, data is published by , OECD, and , Eurostat, . , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/educational-expenditure--uoe-finance-

      Documentation of statistics

      Documentation of statistics: Cereal Prices used for Regulation of Land Rents

      Contact info, Food Industries, Business Statistics , Karsten Kjeld Larsen , +45 21 29 55 76 , KKL@dst.dk , Get documentation of statistics as pdf, Cereal Prices used for Regulation of Land Rents 2024 , Previous versions, Cereal Prices used for Regulation of Land Rents 2023, Cereal Prices used for Regulation of Land Rents 2022, Cereal Prices used for Regulation of Land Rents 2021, Cereal Prices used for Regulation of Land Rents 2020, Cereal Prices used for Regulation of Land Rents 2019, Cereal Prices used for Regulation of Land Rents 2018, Cereal Prices used for Regulation of Land Rents 2016, Cereal Prices used for Regulation of Land Rents 2014, The purpose of the statistics is to show the development of the farm gate prices (basic prices) for wheat and barley. Farm gate prices are used for example for regulating rents of agricultural land in tenancy and have existed since the beginning of the 17th century. For the period 1910-1970 the prices were calculated for dioceses (church districts under the jurisdiction of a bishop). In the years 1937-1953 only prices for the diocese of Zealand were calculated. In its present form the statistics have been comparable since 1985 with figures for eight different geographic areas., Statistical presentation, The statistics are a yearly calculation of farm gate prices for barley and wheat defined as basic prices. The figures are calculated for eight regions. Due to the structural reform in 2007 the names of the regions have been revised but are otherwise unchanged. , The eight districts are described in the manual to the law on cereal prices called , kapitelstakster, . Go to http://www.retsinfo.dk and search for number 10053 of the 24th of November 2006 (24/11/2006), also termed , vejledning om opgørelse af kapitelstakster, . , Read more about statistical presentation, Statistical processing, Basic prices for wheat and barley are calculated based on yearly reports from traders of cereals on bought quantities and values of wheat and barley in connection with direct trade with farmers. Normally the same firm from last years survey are selected, men periodically, every third or fourth year, new firms might be added from within the industry. In 2024 14 firms took part. , Read more about statistical processing, Relevance, The figures are used primarily by farmers to determine the rent for agricultural land. The important users are ministries, agricultural organisations, local authorities, farmers and lawyers. There is a high level of satisfactory among users., Read more about relevance, Accuracy and reliability, There is no measure of the uncertainty of the statistics, e.g. sample error or measurement error. There is no reason to believe that statistics should be subject to bias., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published about seven weeks after the end of the reference period. Publications are released on time, as stated in the release calendar., Read more about timeliness and punctuality, Comparability, Official prices have been around since the beginning of the 17th century. From 1910-1970 the statistic covers the former Parishes "Stifter" which were the old zoning. In the period 1937-1953 statistic covers only Zealand diocese. The statistics are fully comparable back to 1985., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release. In the StatBank, these statistics can be found under the subject , Agricultural and horticultural economy, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/cereal-prices-used-for-regulation-of-land-rents

      Documentation of statistics

      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
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