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    Documentation of statistics: Economic Accounts for Agriculture (Discontinued)

    Contact info, Food Industries , Simone Thun , +45 51 36 92 51 , SIT@dst.dk , Get documentation of statistics as pdf, Economic Accounts for Agriculture 2023 , Previous versions, Economic Accounts for Agriculture 2022, Economic Accounts for Agriculture 2021, Economic Accounts for Agriculture 2019, Economic Accounts for Agriculture 2018, Economic Accounts for Agriculture 2017, Economic Accounts for Agriculture 2016, Economic Accounts for Agriculture 2013, The Economic Accounts for Agriculture (EAA) illustrates the development in the economy in the agricultural sector and serves as input to the National Accounts. Economic Accounts for Agriculture exist back to 1935, but the statistics are in their present form comparable from 1990 onwards., Statistical presentation, The Economic Accounts for Agriculture (EAA) are an annual statement of the agricultural business results, including crop and animal sales products, intermediate consumption, grants and taxes. The Economic Accounts for Agriculture show the results before depreciation, interest and remuneration of labor. The statistics are calculated in million Danish kroner and as price and volume indices. It is broken down by type and geographical by region., Read more about statistical presentation, Statistical processing, The Economic Accounts for Agriculture are calculated annually based on data from many different statistics, mainly from the agricultural statistics. The values of the different products are calculated using prices and quantities. Data is validated when the primary statistics are calculated but it is also validated when used in the calculation of the Economic Accounts for Agriculture. , Read more about statistical processing, Relevance, The Economic Accounts for Agriculture is relevant for the Danish authorities especially the Ministry of Environment and Food of Denmark, EU and the agricultural organizations, so they can follow the development in the economic activities in the agricultural sector. It is also an input to the National Accounts. , Read more about relevance, Accuracy and reliability, As the statistics are compiled on the basis of a wide range of agricultural statistics, a significant number of sources of statistical errors are present. Problems with providing fully representative reference periods can give uncertainty whereas information from dairies and slaughterhouses is exact. For the preliminary results some estimates and assumptions are used until the primary data are finalized which is the reason why the Economic Accounts for Agriculture are finalized two years after the first time published. The reliability f the statistics is good. The margins of statistical error are not calculated., Read more about accuracy and reliability, Timeliness and punctuality, The preliminary statistics are published at the latest 6 months after the end of the reference period. Revised figures, but still preliminary, are published 10 months after the reference period. The final figures are published 2 years and 6 month after the reference period. , Read more about timeliness and punctuality, Comparability, The Economic Accounts for Agriculture is comparable in its current form back to 1990. It can be compared to the Economic Accounts for Agriculture produced by Eurostat. There are some few differences between the Danish and European version. It is also in some way comparable to the economic accounts for agriculture which is calculated on farm level., Read more about comparability, Accessibility and clarity, The statistics are published in , News from Statistics Denmark, . The StatBank Denmark publishes the gross factor income of agriculture under the subject , Agricultural Economics, . In addition, the figures are included in , Statistical Yearbook and Statistical Ten Years Summary, . See more on the subject , Agricultural Economics, ., Read more about accessibility and clarity

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

    Documentation of statistics

    Documentation of statistics: Retail Trade, by Goods (Discontinued)

    Contact info, Business Dynamics , Get documentation of statistics as pdf, Retail Trade, by Goods 2012 , Previous versions, The purpose of the analysis is to shed light on the turnover structures of retail trade. Surveys have been conducted for 1998, 2002 and 2007, and the results from which have been published in Statistical News, in the series Service Industry, 1999:24, 2003:65 and 2008:25, respectively., Statistical presentation, The statistics provide data on the structure of retail trade turnover, industry turnover breakdown by product groups as well as product group retail sales by industries., Read more about statistical presentation, Statistical processing, Data are collected by web from 2,000 enterprises from Retail Trade. In the questionnaire the enterprises are asked to breakdown their turnover by a number of products, services and client categories. The reported data are checked by comparing the distribution of turnover among enterprises that are similar. Survey data is grossed up in part by including information from administrative sources on the VAT turnover in the reference year for the entire population., Read more about statistical processing, Relevance, The results are of interest to those monitoring the current business trends as well as the structural developments within retail trade. The statistics is in demand from trade and industry associations, bank and finance sector, politicians, public and private institutions, researchers, enterprises, news media and Eurostat. It is also of great interest to many enterprises within retail trade, as the results may allow them to compare their own business to their sector of trade or the retail trade more broadly., Read more about relevance, Accuracy and reliability, The survey is based on a sample and thus some uncertainty is attached to the results. For the whole retail trade sector, however, the uncertainty is considered to be small, since the coverage is extensive and the response rate high. For a few sectors with a relatively higher share of small enterprises, the limit of DKK 2.5 mil. may imply a higher uncertainty due to lower coverage., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published once every fem years and approximately 11 months after the reference year. The statistics is published usually without delay regarding to the announced date. To EU the data must be delivered within 18 months after the reference year., Read more about timeliness and punctuality, Comparability, It can be problems in comparing figures over time. This is because the data are only collected every five years. The survey has been carried out for the reference periods 1998, 2002, 2007 and 2012. Since the 1998 survey, changes have been made in both calculation method and industry and product group nomenclatures. , Comparisons across reference years should be done with caution and taking into that statistical nomenclatures and methods have changed., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release and in the , StatBank, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/retail-trade--by-goods--discontinued-

    Documentation of statistics

    Documentation of statistics: Finance Companies, Accounts Statistics (Discontinued)

    Contact info, Government Finances , Jesper Søgaard Dreesen , +45 51 64 92 61 , JSD@dst.dk , Get documentation of statistics as pdf, Finance Companies, Accounts Statistics 2023 , Previous versions, Finance Companies, Accounts Statistics 2022, Finance Companies, Accounts Statistics 2021, Finance Companies, Accounts Statistics 2020, Finance Companies, Accounts Statistics 2019, Finance Companies, Accounts Statistics 2018, Finance Companies, Accounts Statistics 2017, Finance Companies, Accounts Statistics 2016, Finance Companies, Accounts Statistics 2015, Finance Companies, Accounts Statistics 2014, Finance Companies, Accounts Statistics 2013, The purpose of the statistics The activity of finance companies is to analyze the performance of major finance companies, including leasing companies, factoring companies, consumer credit companies and non-banking companies, offering loans to businesses and households. The statistics was first published in 2005 with figures for 2001-2004. It is a replacement for "Major finance companies, account statistics" and "Non-bank Consumer credit, Account Statistics"., Statistical presentation, The data covers the activity of the finance companies through additions during the year and outstanding amounts at the end of the year of leases, factoring and other kinds of lending. Also the sectors aggregated profit and loss account and balance sheet are determined., Read more about statistical presentation, Statistical processing, The annual data collection takes place via an upload solution. The financing companies can access an Excel file with the questionnaire on Statistics Denmark's website. In the absence of a reporting, the company is contacted, which results in a response rate of 100. Once the data has been collected, a manual validation of the data is carried out before the publication of the aggregated data., Read more about statistical processing, Relevance, As part of the general statistical information on the financial sector, the statistics refers to financial institutions, public authorities, business community and the general public. Furthermore, the data contributes to the national account statistics., Read more about relevance, Accuracy and reliability, These statistics accuracy and reliability is considered to be good. Based on the response rate of 100 percent, and the way the statistics are designed. However, there may be some uncertainty associated with coverage error, and measurement error due to new players and ongoing product development in the industry., Read more about accuracy and reliability, Timeliness and punctuality, The publication time of the statistic is approx. eight months. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The population is defined for relatively few units, causing some sensitivity to the constant changes in the population. This adjustment is a result of new players and where companies no longer meet the requirements to be included in the statistics., Read more about comparability, Accessibility and clarity, The statistics are published in News from Statistics Denmark here: , Financing companies, ., Data can be found in the following tables in the StatBank:, Leasing by type, Type of kredit, Profit and loss, Balance sheet, Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/finance-companies--accounts-statistics--discontinued-

    Documentation of statistics

    Documentation of statistics: Industry investment survey (Discontinued)

    Contact info, Short Term Statistics , Bo Eriksen , +45 61 50 41 27 , BHE@dst.dk , Get documentation of statistics as pdf, Industry Investment Survey 2021 Month 04 , Previous versions, Industry Investment Survey 2020 Month 04, Industry Investment Survey 2018 Month 11, Industry Investment Survey 2018 Month 03, Industry Investment Survey 2017 Month 11, Industry Investment Survey 2017 Month 04, Industry Investment Survey 2016 Month 11, Industry Investment Survey 2016 Month 04, Industry Investment Survey 2015 Month 03, Industry Investment Survey 2015, Industry Investment Survey 2014 Month 03, The purpose of Investment Survey in Manufacturing industries is to provide an estimate of the expected future investments in manufacturing industries. The survey can be characterized as a tendency survey since the managements in the participating enterprises are asked to give an estimate on the annual investments in current prices. The survey has been carried through since 1982 according to demands from the EC., From 2021, the statistics have been entered under , Investment survey for manufacturing industry, and the content of this documentation deals with the archived statistical bank tables ., Statistical presentation, The investment survey in manufacturing industries is a tendency survey in which the expectations regarding the annual change in industrial investments are summarized twice a year (March and October). The survey gives information on expected investments in the current year and the forthcoming year and the results are presented as percentage changes., Read more about statistical presentation, Statistical processing, Not relevant for these statistics., Read more about statistical processing, Relevance, Users of the statistics are trade organizations, banks, politicians, public authorities, international organizations, business enterprises and the news media. The confidence indicators provides valuable information about the state of the business economy and are reflected upon every month in financial related news medias. There has been no survey if the statistics meets the needs of clients., Read more about relevance, Accuracy and reliability, No overall accuracy has been calculated. Is has been observed a tendency that 2nd and 3rd measurement of a survey-year shows higher growth rates as compared to 1st and 4th measurement. The reason for this seems to be measurement errors., Read more about accuracy and reliability, Timeliness and punctuality, The half-yearly survey is launched by means of questionnaires about 20 days before the survey month beginning. Deadline for responses is about the 12th in the survey month. Two weeks after, about the 26th, a reminder is send to the remaining admitting a new deadline about the 4th the month after the reference month. About the 15th the statistics is enumerated. About the 22nd results are published and send to the EU-partner DG ECFIN. The process runs punctual., Read more about timeliness and punctuality, Comparability, The statistics is carried out in collaboration with the EU-commission since 1982. Please refer to , (DG ECFIN), ., Read more about comparability, Accessibility and clarity, Results of the surveys are published monthly at , Statistics Denmark, ., Key indicators are published in the newsletter edition , Nyt fra Danmarks Statistik, Industriens investeringsforventninger, and in English at the homepage , Short term trends, . , Detailed data is available in English version at , Statbank, ; choose English language and look for the tables INVEST1 & INVEST2., Read , here, about the statistics., Also, data are published at the homepage of the EU-commission partner , Directorate Generale Economic and Financial affairs (DG ECFIN), along with similar data from other EU countries., Scientists and analysts have the option to buy detailed micro-data through the , Division of Research Services, , Statistics Denmark. In this case data will anonymized in order to ensure enterprises confidentiality., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/industry-investment-survey--discontinued-

    Documentation of statistics

    Documentation of statistics: Elections to municipal and regional councils

    Contact info, Population and Education, Social Statistics , Dorthe Larsen , +45 23 49 83 26 , DLA@dst.dk , Get documentation of statistics as pdf, Elections to municipal and regional councils 2025 , Previous versions, Elections to municipality councils 2017, Elections to municipal and regional councils are held every four years, on the third Tuesday in November. Results from the elections are published in the StatBank three to four months after the election., Statistical presentation, The statistics of the election to the municipalities and regions publishes around two months after the date of the deadline for complaints (media January the following year). The statistics publish for each municipality. The candidate is broken down on parties, sex, and whether they are elected/nominated. The distribution on votes is broken down on party, postal votes, invalid votes. The statistics is based on extract from the IT election system of KOMBIT/Netcompany from which Statistics Denmark receive data from., Read more about statistical presentation, Statistical processing, Data for these statistics are provided as an extraction from the election software system (managed by KOMBIT/Netcompany) after the deadline has expired for complaints/objections. , Read more about statistical processing, Relevance, The statistics are relevant for municipalities, regions, ministries, other government organizations, political party organizations, researchers and citizens as a basis for planning and surveys. The data basis of the statistics (micro-data) is used by researchers to whom data is made available via Statistics Denmark's Research Services. , Read more about relevance, Accuracy and reliability, The statistics are based on data extractions from the election software system (managed by KOMBIT/Netcompany) to which the results of the municipal and regional elections are reported. As the data basis is used for calculating the composition of the local and regional councils, it is demanded that the statistics are recorded accurately and, as a result, are of very high quality. , Read more about accuracy and reliability, Timeliness and punctuality, The election is held every four years on the third Tuesday of November. The results are usually published four months later, i.e. mid-March. , Read more about timeliness and punctuality, Comparability, In connection with the municipal reform of 2007, the number of municipalities in which to hold elections was reduced from 271 to 98. For the majority of municipalities, it meant that the geographical scope of the municipality increased considerably, and that a new local council had to be elected for the new increased geographical area which had previously been covered by two or more municipalities and a corresponding number of local councils. , Read more about comparability, Accessibility and clarity, In the Statbank, these statistics can be found under , Elections to municipality councils, . In a separate article prepared for the Ministry for Interior and Health, you can see the distribution of candidates and votes for each party and each municipality. The article is available on , page concerning municipal elections (only in Danish), . Selected information about the elected candidates is published in a , Danish press release, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/elections-to-municipal-and-regional-councils

    Documentation of statistics

    Documentation of statistics: Labour Costs for Corporations and Organizations

    Contact info, Labour Market, Social Statistics , Nete Nielsen , +45 40 10 48 87 , NDN@dst.dk , Get documentation of statistics as pdf, Labour Costs for Corporations and Organizations 2024 , Previous versions, Labour Costs for Corporations and Organizations 2023, Labour Costs for Corporations and Organizations 2022, Labour Costs for Corporations and Organisations 2021, Labour Costs for Corporations and Organizations 2020, Labour Costs for Corporations and Organizations 2019, Labour Costs for Corporations and Organizations 2018, Labour Costs for Corporations and Organizations 2017, Labour Costs for Corporations and Organizations 2016, Labour Costs for Corporations and Organizations 2015, Labour Costs for Corporations and Organizations 2014, Labour Costs for Corporations and Organizations 2013, The purpose of the statistics of total labour costs for corporations and organizations is to monitor trends and the level of the total labour costs broken down by industry, occupation and main components. The statistics on total labour costs are published once every year and are used to compare the total labour costs across industries and occupations., Statistical presentation, The labour costs for the private sector is published for 9 of the main class of industries in addition to 9 different types of occupation. Data on earnings are obtained from the annual structure of earnings survey for the private sector, which is based on a full-scale survey comprising business enterprises with more than 10 full-time employees, while other labour costs are based on a special sample survey for enterprises with 10 or more employees, also including apprentices and employees under the age 18. The labour costs comprise each employee's total earnings in connection with his/her job and other labour costs that are not considered to be an income for an employee., Read more about statistical presentation, Statistical processing, Data concerning the employees' earnings and wage are collected for each individual employee, while data on the other costs of the enterprise is collected at the level of the enterprise. Other labour costs are distributed on to the employees on the basis of a distribution formed by regulation and logical reasoning. The total labour costs per employee is calculated as the sum of all wages and the sum of other labour costs divided by the number of employees., Read more about statistical processing, Relevance, The labour costs are used by enterprises to compare costs associated with having people employed, with the costs of other enterprises with similar type of employees. The comparison is often done within a certain branch of economic activity or for a certain type of work. In addition, the statistics can be used to compare labour costs across EU-member countries. , Read more about relevance, Accuracy and reliability, The statistics are based on information about both earnings and other labor costs. Earnings account for the vast majority of total labor costs. The other costs mainly include mandatory contributions. Data is collected from a sample of companies with more than nine employees, and almost all submissions are included in the final statistics, which are only published with final figures, Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published once every year around august. There are normally no delays in publishing the statistics., Read more about timeliness and punctuality, Comparability, Due to changes in the compilation method, comparisons with statistics prior to 2014 are not possible. Owing to the fact that labour costs since 2002 are distributed per employee and not per enterprise as previously done, comparisons with statistics compiled before 2002 is not possible. Also, the statistics on labour costs for 1997-2001 are only to a limited extent comparable to those before 1997, which has to do with the application of a new method starting from 1997., Read more about comparability, Accessibility and clarity, These statistics are published yearly in the StatBank under the subject , Labour costs, . For further information, go to the , subject page, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/labour-costs-for-corporations-and-organizations

    Documentation of statistics

    Documentation of statistics: SME Access to Finance

    Contact info, Business Dynamics , Alina Grecu , +45 30 55 18 24 , AGC@dst.dk , Get documentation of statistics as pdf, SME Access to Finance 2018 , Previous versions, SME Access to Finance 2014, The statistics provides updated information on small and medium-sized enterprises' access to finance in light of the financial crisis. The 2018 statistics is an update of previous surveys covering the periods 2007, 2009/2010 and 2014. To provide the best basis for comparability over time, the survey has been repeated with an almost unchanged contents., Statistical presentation, The statistics sheds light on small and medium-sized enterprises' access to finance, covering loan finance, equity finance and other types of finance. Results are published in a NYT from Statistics Denmark and related tables in the Statbank. , Read more about statistical presentation, Statistical processing, The statistics is annual and questionnaire-based. Information is reported digitally. Validation includes checks and supporting information built into the digital form, combined with subsequent checks and recontact to reporting enterprises. The published results are grossed up to population level. Stratification is based on activity, enterprise size class and subpopulations ( high-growth enterprises, high-growth new enterprises and other enterprises)., Read more about statistical processing, Relevance, The statistics provides updated information on growth conditions for the Danish business sector, specifically on small and medium-sized enterprises' access to finance. The 2018 survey was carried out in collaboration with, and with financing from, the Danish Ministry of Industry, Business and Financial Affairs. In addition, the statistics is expected to be used by other ministries, Danmarks Nationalbank (the Danish Central Bank), business associations and by researchers., Read more about relevance, Accuracy and reliability, Sampling error calculations have been produced. The response rate is 93 per cent. Unit non-response is limited and due to bankruptcy, take-overs, etc. Item non-response is also limited. The quality of the statistics is considered high., Read more about accuracy and reliability, Timeliness and punctuality, Results from the survey are published relatively soon after the end of the reference period, and results have been published without delays. Results for 2014 were published without delays in a NYT from Statistics Denmark and related tables in the Statbank in mid-April 2015. Results for 2018 will be published without delays in late October 2019., Read more about timeliness and punctuality, Comparability, The statistics provides updated information on small and medium-sized enterprises' access to finance in light of the financial crisis. The 2018 statistics is an update of previous surveys covering the periods 2007, 2009/2010 and 2014. for 2007 and 2009/2010 results for a number of other European Member States are also available. To provide the best basis for comparability over time, the survey has been repeated with an almost unchanged contents., Read more about comparability, Accessibility and clarity, Results are published in a Nyt from Statistics Denmark (in Danish only) and related tables in the Statbank. , Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sme-access-to-finance

    Documentation of statistics

    Documentation of statistics: The Public Sector Finances

    Contact info, Government Finances, Economic Statistics , Helene Gjermansen , +45 24 76 70 09 , HGJ@dst.dk , Get documentation of statistics as pdf, The Public Sector Finances 2024 , Previous versions, The Public Sector Finances 2023, The Public Sector Finances 2022, The Public Sector Finances 2021, The Public Sector Finances 2020, The Public Sector Finances 2019, The Public Sector Finances 2018, The Public Sector Finances 2017, The Public Sector Finances 2016, The Public Sector Finances 2015, The Public Sector Finances 2014, The purpose of the statistic is to show the activities that are owned or controlled by the general government and to illustrate the public area as an economic unit called , the public sector, . Statistics Denmark began publishing the statistic in March 1998, where it contained figures covering the period 1993-1996., Statistical presentation, The public sector's finances is an annual specification of the institutional distribution of activities carried out by the public corporations, giving total figures as well as figures divided into industrial groups. Furthermore, the statistics contain figures for the public sector and all public corporations and quasi-corporations., Read more about statistical presentation, Statistical processing, The data for the statistic is based on accounting information from central government, regions, and municipalities, along with approximately 800 public companies. The accounting information is gathered directly from central government, regions, and municipalities, while data from the public companies are collected by the use of surveys. The accounting information is checked for errors, along others by comparing to the previous year's accounts, and a macro-validation is carried out on the most detailed industrial classification. The gathered data covers the full population, and as such no further calculations are necessary., Read more about statistical processing, Relevance, The primary users are the ministries of economic affairs, interest organisations, politicians, educational institutions, and the interested public. Some users needs information on the total sector and the subsectors contribution to the public sector as a hole. Others needs detailed information on the public corporations., Read more about relevance, Accuracy and reliability, Full coverage of all industries is obtained by conducting a yearly check of the population in relation to a variety of sources. Accounting information is obtained from central and local government accounts and furthermore from questionnaires. Some accounting information is adjusted to the terminology used in the national accounts system and therefore deviates from normal accounting conventions. Furthermore, public corporations may use different methods of accounting. Accounting data entered wrongly are also a source of error, which is minimized by comparison with information from the previous year. If necessary, the company in question is contacted to validate the data., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published in December the year after the latest accounting year and without delays., Read more about timeliness and punctuality, Comparability, These statistics are comparable from 1993 and onwards. The figures are produced according to international guidelines and are therefore comparable with similar estimates from other countries., Read more about comparability, Accessibility and clarity, These statistics are published in Danish press release and in the StatBank under , Public corporations and public sector, . , Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/the-public-sector-finances

    Documentation of statistics

    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: 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