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    Documentation of statistics: Accounts Statistics for Non-Agricultural Private Sector

    Contact info, Business Dynamics, Business Statistics , Jeppe Strandgaard Herring , +45 24 44 43 06 , JHR@dst.dk , Get documentation of statistics as pdf, Accounts Statistics for Non-Agricultural Private Sector 2024 , Previous versions, Accounts Statistics for Non-Agricultural Private Sector 2023, Accounts Statistics for Non-Agricultural Private Sector 2022, Accounts Statistics for Non-Agricultural Private Sector 2021, Accounts Statistics for Non-Agricultural Private Sector 2020, Accounts Statistics for Non-Agricultural Private Sector 2019, Accounts Statistics for Non-Agricultural Private Sector 2018, Accounts Statistics for Non-Agricultural Private Sector 2017, Accounts Statistics for Non-Agricultural Private Sector 2016, Accounts Statistics for Non-Agricultural Private Sector 2015, Accounts Statistics for Non-Agricultural Private Sector 2014, Accounts Statistics for Non-Agricultural Private Sector 2013, Accounts Statistics for Non-Agricultural Private Sector 2012, The purpose of Accounts statistics is to analyze the activity level and of the structure of the Danish business sector. This means that the statistics should be seen as a primary source of financial data for analytical studies of Danish business enterprises, including data required for the evaluation and conception of Government policies and decisions affecting the business community. Moreover, the accounts statistics are an essential input to the Danish national accounts statistics., Statistical presentation, The statistics annually show enterprises income statements, balance sheets, and investments both at the enterprise level and at the establishment level. The statistical basis includes detailed accounting items, including revenue, consumption of goods, expenses, annual results, assets, liabilities, and investments. The accounting statistics for private urban businesses do not include agriculture, fishing, ports, financial institutions, insurance, public housing companies, public administration, etc. The statistics only cover market activity. The statistics are published in "News from Statistics Denmark" and in the "StatBank.", Read more about statistical presentation, Statistical processing, Information is obtained annually from a sample of enterprises using online reporting. The online questionnaire follows the Danish Financial Statements Act as much as possible, and the information obtained undergoes a systematic troubleshooting in Statistics Denmark. Data is supplemented with data from several other sources. Based on the collected and other data, values ​​for all variables are calculated for the full population., Read more about statistical processing, Relevance, Applications: studies of business economics, regional finance studies, primary data for the Danish national accounts and for Eurostat's structural business statistics. Users: Public authorities, Eurostat, employers' and employees' federations, private firms, politicians, economists, scientist, journalists and students., Read more about relevance, Accuracy and reliability, The statistics provide a reliable picture of the financial situation of the Danish business community, as it is based on a broad sample, administrative data and is based on detailed accounts. Most confident is the statistics at the enterprise level, as the annual accounts are made at this level., It is assumed that the enterprises in which information is received from SKAT and the Danish Business Authority, in the same industries and with the same ownership form, are comparable with the enterprises in the sample. Furthermore, it is assumed that enterprises with less than 5 employees are comparable to enterprises with 6-10 employees, for enterprises that do not have a large VAT turnover (industry dependent but typically at least DKK 150 million)., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are usually published provisionally approx. 6 months after and finally approx. 12 months after the last closing date (April 30) and usually without delay in relation to the announced time., Read more about timeliness and punctuality, Comparability, The new type of accounts statistics is largely comparable with, and supplemented by, the SKAT data based accounts statistics which were discontinued after 1998. Statistics Denmark publishes statistics on various subjects related to business accounts, notably VAT-related turnover, manufacturers' sales of commodities, and short-term statistics of order books and sales. However, these statistics are not directly comparable with the accounts statistics, because of differences in units, coverage or concepts., Read more about comparability, Accessibility and clarity, The statistics are published in , NYT from Statistics Denmark, in Danish, . In StatBank data are published under the subject , Enterprise finance and accounts, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/accounts-statistics-for-non-agricultural-private-sector

    Documentation of statistics

    Documentation of statistics: Harvest of Cereals etc.

    Contact info, Food Industries, Business Statistics , Martin Lundø , +45 51 46 15 12 , mlu@dst.dk , Get documentation of statistics as pdf, Harvest of Cereals etc. 2025 , Previous versions, Harvest of Cereals etc. 2024, Harvest of Cereals etc. 2023, Harvest of Cereals etc. 2022, Harvest of Cereals etc. 2021, Harvest of Cereals etc. 2020, Harvest of Cereals etc. 2019, Harvest of Cereals etc. 2018, Harvest of Cereals etc. 2017, Harvest of Cereals etc. 2016, Harvest of Cereals etc. 2015, Harvest of Cereals etc. 2014, The statistics illustrate the Danish harvest of grain, rapeseed, legumes and roughage. The statistics are used for research, EU reporting, calculation of GDP and energy and feed accounts. The statistics have been compiled since 1875, but in their current form are comparable from 1971 onwards. The statistics complement other statistics on vegetable production, including , Production of fruit and vegetables, . , Statistical presentation, The statistics are an annual statement of the Danish harvest of grain, rapeseed, legumes, root vegetables and roughage, calculated in area (1000 hectares), average yield (hectokg per hectare) and production (million kg). The statistics are calculated for crops and divided by region., Read more about statistical presentation, Statistical processing, Harvest of cereals, rapeseed and legumes: Data is collected annually from farmers via questionnaires and is debugged based on yield limits and added to the total population. Roughage: Data is collected from SEGES, Danish Sugar Beet Growers, DAKOFO, the Danish Agricultural Agency and Accounting Statistics for Agriculture. Where current data is missing, yields are projected from related crops with known trends., Read more about statistical processing, Relevance, The users are mainly EU and agricultural organizations. The results are included in the agricultural gross factor income. Information on the use of straw for fuel is used, among other things by the DEA., User needs are covered in the User Committee for food statistics. Statistics Denmark is also in regular contact with key users, including the Ministry of Food and research institutions., Read more about relevance, Accuracy and reliability, The response rate for the calculation of the harvest of grains, rapeseed etc. is over 95 per cent. Precision meets EU quality requirements., For coarse fodder, reliability must be considered reasonable for average yields, while it is high for area information., The forecast for winter seed areas usually deviates by 5-10 percentage points from the later established cultivated areas., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are usually published without delay to the scheduled date., Preliminary data for the harvest of cereals, rape and pulses are published in late November. Final statement, including results for provinces and regions are published April of the following year, where the coarse fodder harvest alsot is published. End of reference Period: October 1. Harvesting of roughage is published April of the following year. End of reference Period: end of November. The forecast for the following year's winter land released in early December. End of reference Period: October 15, Read more about timeliness and punctuality, Comparability, Similar statistics are produced among EU members and are available from the Eurostat's website. The statistics comply with EU standards., Harvest figures are in principle comparable back to 1900 but with methodological changes along the way. The current calculation method has in principle been used since 1971. The statistics for the new regions of the country are made from 2006. Thus there for 2006 is both a statement of the then counties, and the current regions., Read more about comparability, Accessibility and clarity, The statistics are published in the StatBank under , Crop production, and in a Danish press release., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/harvest-of-cereals-etc-

    Documentation of statistics

    Documentation of statistics: Construction Survey (Discontinued)

    Contact info, Short Term Statistics , Get documentation of statistics as pdf, Construction Survey 2021 , Previous versions, Construction Survey 2020, Construction Survey 2019, Construction Survey 2018, Construction Survey 2017, Construction Survey 2016, Construction Survey 2015, The purpose of the tendency survey for the construction industry is to provide a fast and up-to-date picture of conditions and expectations in the construction industry. As from the 1st quarter of 1970 Statistics Denmark has conducted a tendency survey for the construction industry. From 1970 to 1997 the tendency survey was conducted quarterly. To harmonize with the surveys conducted by other EU member states, the Danish tendency survey has been conducted monthly since January 1998. This change also implied that further questions were added to the survey., Statistical presentation, The purpose is to provide data on some essential short-term economic factors within the construction industry. The survey is a qualitative assessment on developments over the past three months and expected developments over the next three month, based on the variables , employment, , , sales, , , prices, , , new orders, and , limits to production, . Also is asked , how many months work is accounted for in the order book, ., Read more about statistical presentation, Statistical processing, Monthly business survey data is collected from a sample of approximately 800 enterprises. Data is reported either online at http://www.VIRK.dk or in paper questionnaire, and consists of qualitative information about changes in net sales, employment, prices, orders, etc., which are not validated. The collected data are enumerated from the sample to the total population weighted by employment data, and distributed at industry and size groupings. If seasonal variation patterns are detected for the indicators that constitute the composite confidence indicator, data is adjusted for this., 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, Regarding , Accuracy, , sampling error is estimated to plus/minus 1-2 percentage points for the confidence indicators. The figures are by definition , reliable, , since they are not revised., Read more about accuracy and reliability, Timeliness and punctuality, The Survey is launched about 5 working days before the beginning of the survey month. Questionnaires or e-mail notification is send out. Deadline for responses is about the 6th of the survey month. Reminder is send about the 13th giving new deadline about the 20th of the survey month. The statistics is compiled about the 24th immediately before deadline for sending data to EU-partner DG ECFIN. Last but one working day before the end of the survey month data is published in both Denmark and EU. The process always runs punctual., Read more about timeliness and punctuality, Comparability, The Construction Sector survey has been conducted since 1970 by Statistics Denmark. , The survey is conducted in partnership with DG ECFIN and historical data is to be found at their , homepage, ., Read more about comparability, Accessibility and clarity, Results of the business tendency surveys are published monthly at , Statistics Denmark, ; Key indicators are published in the newsletter edition , Nyt fra Danmarks Statistik, Konjunkturbarometer for Serviceerhverv, and in English at the homepage , Short term trends, . Detailed data is available in English version at , http://www.statbank.dk, ; choose English language and look for the tables KBB11-KBB66., 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/construction-survey--discontinued-

    Documentation of statistics

    Documentation of statistics: Transport by Ferries and Passenger Ships

    Contact info, Short Term Statistics, Business Statistics , Heidi Sørensen , +45 24 79 86 81 , POT@dst.dk , Get documentation of statistics as pdf, Transport by Ferries and Passenger Ships 2025 Quarter 3 , Previous versions, Transport by Ferries and Passenger Ships 2025 Quarter 1, Transport by Ferries and Passenger Ships 2024 Quarter 1, Transport by Ferries and Passenger Ships 2023 Quarter 1, Transport by Ferries and Passenger Ships 2022 Quarter 1, Transport by Ferries and Passenger Ships 2021 Quarter 4, Transport by Ferries and Passenger Ships 2021 Quarter 3, Transport by Ferries and Passenger Ships 2021 Quarter 2, Transport by Ferries and Passenger Ships 2021 Quarter 1, Transport by Ferries and Passenger Ships 2020 Quarter 4, Transport by Ferries and Passenger Ships 2020 Quarter 3, Transport by Ferries and Passenger Ships 2020 Quarter 1, Transport by Ferries and Passenger Ships 2019 Quarter 4, Transport by Ferries and Passenger Ships 2019 Quarter 3, Transport by Ferries and Passenger Ships (Quaterly) 2019 Quarter 2, Transport by Ferries and Passenger Ships 2019 Quarter 1, Transport by Ferries and Passenger Ships 2018 Quarter 4, Transport by Ferries and Passenger Ships 2018 Quarter 3, Transport by Ferries and Passenger Ships 2018 Quarter 2, Transport by Ferries and Passenger Ships 2018 Quarter 1, Transport by Ferries and Passenger Ships 2017 Quarter 4, Transport by Ferries and Passenger Ships 2017 Quarter 3, Transport by Ferries and Passenger Ships 2017 Quarter 2, Transport by Ferries and Passenger Ships 2017 Quarter 1, Transport by Ferries and Passenger Ships 2016 Quarter 4, Transport by Ferries and Passenger Ships 2016 Quarter 3, Transport by Ferries and Passenger Ships 2016 Quarter 2, Transport by Ferries and Passenger Ships 2014 Quarter 3, The purpose of the statistics on transport by ferries and passenger ships is to describe the transport of passengers and goods by ferries and passenger ships on domestic routes and in traffic between Danish and foreign ports., The statistics are together with the other transport statistics used for analyses of the transport of passengers and goods. In the current form the statistics has been made since 1990., Statistical presentation, The statistics on transport by ferries and passenger ships are a monthly and annual statistics on the transport of passengers and goods by ferries and by passenger ships between Danish ports or between Danish and foreign ports. , The most important variables used in the statistics are: Trips, passengers, vehicles, goods on road vehicles and other goods., The statistics are published annually in , Nyt fra Danmarks Statistik, and quarterly in the Statbank., Read more about statistical presentation, Statistical processing, Data for the statistics are collected through an electronic questionnaire. The statistics cover all ferry lines and passenger ships with goods or passenger traffic in route to or from Denmark., The response rate is 100 percent., Data are checked both automatically and manually at the time of data collection and in case of large deviations or missing reports the reporting company is contacted again. For a few operators the total freight weight is imputed based on the number of freight vehicles reported. The validated micro-data is aggregated and then checked for major fluctuations., Read more about statistical processing, Relevance, The statistics are used regularly by new media, consultancies, business associations, port enterprises, shipping lines and other enterprises as well as Eurostat for e.g. analyses of maritime traffic, investments in infrastructure, analyses of the maritime transport sector, economic development and environment., Read more about relevance, Accuracy and reliability, The statistics is assessed to be reliable as the main series are based on financial information from the reporters (ticket sale). Furthermore the reporters are obliged to monitor the number of passengers and vehicles onboard., There is few and minor revisions and few errors are found in reported data., The smallest ferry lines are not included in the statistics. Usually this is lines to the smallest Danish islands or crossing fjords., In the main series uncertainty is largest for goods by goods motor vehicles that in some cases are estimated based on the number of goods motor vehicles. Additionally, the number of bicycles and caravans are uncertain., Read more about accuracy and reliability, Timeliness and punctuality, The quarterly statistics are published around 55 days after the end of the quarter. Since statistics for the first quarter 2012 the statistics has been published at the pre-announced date., Read more about timeliness and punctuality, Comparability, In its present form the statistics is consistent since 1990 for annual figures and 2000 for monthly figures. The statistics are processed according to common EU guidelines and therefore comparable with statistics from other countries published by Eurostat., Read more about comparability, Accessibility and clarity, These statistics are published annually in a Danish press release at the same time as the tables are updated in the Statbank. In the Statbank, these statistics can be found under the subject , Passengers and routes, . For further information, go to the , subject page, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/transport-by-ferries-and-passenger-ships

    Documentation of statistics

    Documentation of statistics: Nights spent on camp sites

    Contact info, Short Term Statistics, Business Statistics , Nanna Nikander Nonboe-Nygaard , NIO , nio@dst.dk , Get documentation of statistics as pdf, Nights spent on camp sites 2025 , Previous versions, Nights spent on camp sites 2024, Nights spent on camp sites 2023, Nights spent on camp sites 2022, Nights spent on camp sites 2021, Nights spent on camp sites 2020, Nights spent on camp sites 2019, Nights spent on camp sites 2018, Nights spent on camp sites 2017, These statistics describe the capacity and occupancy at Danish campsites. The statistics are used by i.e. EU, tourism organizations and municipalities in order to analyze the development in camping tourism. The survey has been compiled since 1971, but in its current form comparable from 1992 and onwards. , Statistical presentation, These statistics are a monthly summary of occupancy and capacity in Danish campsites with a minimum of 75 camping units. The statistics are broken down by nationality of the guests, permanent leased pitches and geography by NUTS 2 level. Furthermore there is a annual summary of occupancy and capacity in Danish campsites with 10-74 camping units. , Read more about statistical presentation, Statistical processing, Data for the statistics are collected monthly from Danish campsites with a minimum of 75 camping units and yearly from Danish campsites with 10-74 camping units using an online questionnaire on Virk.dk, or by using a system-to-system solution where the campsites booking system automatically sends data to Statistics Denmark. Collected data are validated on micro-level during the data collection and again on macro-level when aggregated. The validated data are then imputed with missing values and afterwards aggregated into geographical and nationality totals. , Read more about statistical processing, Relevance, The statistics are for example relevant for accommodation businesses, Eurostat, ministries and business and tourism organizations for forecasts, analysis and planning. , Read more about relevance, Accuracy and reliability, The monthly statistic only covers campsites with at least 75 camping units. The annual statistics also cover campsites with 10-74 camping units. A possible source of error can be that the respondents have difficulties distinguishing between the concepts of nights spent and arrivals. Another possible source of error may be the fact that the reported data is in many cases based on estimations by the respondents. Missing answers are imputed which may lead to revisions of published data. , Read more about accuracy and reliability, Timeliness and punctuality, The monthly statistics for campsites with a minimum of 75 camping units are published approx. 40 days after the end of the reference period. Publications are released on time, as stated in the release calendar. The annual statistics for the final data and for campsites with 10-74 camping units are published approx. 100 days after the end of the reference year., Read more about timeliness and punctuality, Comparability, Statistics Denmark includes nights from permanent leased pitches, which can cause an overestimation compared to other European camping statistics which do not include data from nights spent on permanent leased pitches. The statistical organisation of EU "Eurostat" does not include nights spent on permanent leased pitches when they publish data from countries in EU. From 2013, the number of nights on permanent leased pitches is based on factors of average lead times on camp sites. This change may result in a lack of comparability, but it is not expected to be significant. The number of nationalities has expanded from 13 to 51 nationality groups. This can lead to a lack of consistency when comparing data over time. , Read more about comparability, Accessibility and clarity, The statistics are published in , News from Statistics Denmark, . Data are published in statbank at , Camping sites, and , All types of overnight accommodation, and in an annual publication with all types of overnight accommodation. For more information about the statistics look at subject page. (https://www.dst.dk/da/Statistik/emner/erhvervslivets-sektorer/turisme/campingpladser)., Statistics on a municipality level or for a province can be found at , VisitDenmark, . If you wish to combine statistics of tourism with other types of variables or combine variables in a different way please contact , DST Consulting, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/nights-spent-on-camp-sites

    Documentation of statistics

    Documentation of statistics: National Accounts, Financial Accounts

    Contact info, Government Finances, Economic Statistics , Jesper Søgaard Dreesen , +45 51 64 92 61 , JSD@dst.dk , Get documentation of statistics as pdf, National Accounts, Financial Accounts 2025 , Previous versions, National Accounts, Financial Accounts 2024, National Accounts, Financial Accounts 2023, National Accounts, Financial Accounts 2022, National Accounts, Financial Accounts 2021, National Accounts, Financial Accounts 2020, Financial accounts 2018, Financial accounts 2017, Financial accounts 2016, Financial accounts 2015, Financial accounts 2014, Financial accounts 2013, Financial accounts are part of the national accounts system, which shows how the institutional sectors of the economy place / finance their net lending/net borrowing. Statistics Denmark published annual financial accounts for the first time in 2001, while the Danmarks Nationalbank (Danish Central Bank) published quarterly figures for the first time in 2004. From September 2020, the national and quarterly financial accounts of the national accounts is compiled in a collaboration between Danmarks Nationalbank and Statistics Denmark., Statistical presentation, Financial accounts are part of the national accounts system and consist of coherent definitions and classifications that show how the institutional sectors of the economy place / finance their net lending / net borrowing and how the net financial net worth are placed in financial instruments. Financial accounts are a quarterly and annual statistics and consist of the financial transaction account, the revaluation account, the account for other volume changes and respectively the opening and closing balances. Contact information for Danmarks Nationalbank can be found in Comments., Read more about statistical presentation, Statistical processing, Data is collected continuously throughout the year from many different sources. Then the data is processed in relation to the conceptual apparatus of the national accounts, where it may be necessary to contact the specific source with clarifying questions for the data. There may be a need to calculate estimates for the data that are not available at the time of publication. Once all sources have been obtained, some balancing is carried out to ensure the internal consistency that underpins the national accounts., Read more about statistical processing, Relevance, The purpose of these statistics is to shed light on the wealth and debt of companies and households as well as the overall financial stability of society. Financial accounts are relevant to anyone dealing with socio-economic issues. It ranges from Danmarks Nationalbank, financial institutions, the economic ministries, interest groups and financial analysts. The press is particularly interested in the figures for the household sector., Read more about relevance, Accuracy and reliability, The ability of the national accounts' financial accounts to accurately describe the economic reality depends partly on the uncertainty associated with the sources and partly on the model assumptions on which the preparation is based. Some parts can be calculated more accurately than others, as there is better access to source data. The initial bids for a period's financial accounts will be more uncertain than the final version, which comes after two and a half years, as new sources are continuously revised when new sources become available., Read more about accuracy and reliability, Timeliness and punctuality, The first version of the quarterly financial accounts is published 90 days after the end of the quarter. In connection with the publication of the 4th quarter at the end of March, the first version of the annual financial accounts will also be published. The final quarterly and annual financial accounts are issued two and a half years after the census period. The national accounts are published in time., Read more about timeliness and punctuality, Comparability, The national accounts' financial accounts are prepared in accordance with international guidelines and are thus comparable across countries. The current guidelines were implemented in 2014. , As of September 2020, there is full comparability between the quarterly and annual financial accounts from 2017 onwards. , Danmarks Nationalbank has quarterly figures dating back to 2005, while Statistics Denmark has annual figures dating back to 1995. For the period before 2017, however, the two statistics do not match, which can primarily be attributed to different sources or methodological choices., Read more about comparability, Accessibility and clarity, The statistics are published in StatBank under the topics , Complete national accounts, and , National accounts by sector, as well as Danmarks Nationalbank's Statbank under the topic , Financial accounts, ., Read more about accessibility and clarity

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

    Documentation of statistics

    Documentation of statistics: Government Finance Statistics

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

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

    Documentation of statistics

    Documentation of statistics: Detailed material flow accounts (physical supply-use tables)

    Contact info, National Accounts, Climate and Environment, Economic Statistics , Ole Gravgård Pedersen , +45 30 89 28 39 , OGP@dst.dk , Get documentation of statistics as pdf, Detailed material flow accounts (physical supply-use tables) 2020 , Previous versions, Detailed material flow accounts (physical supply-use tables) 2018, Detailed material flow accounts (physical supply-use tables) 2016, The purpose of the detailed material flow accounts is to shed light on the type and quantity of all materials linked to industries, private and government consumption, etc. , The accounts can be used for analysis of the physical proportions of resource use, output of goods and residuals, external trade, etc. Thereby they give information, which are useful in relation to analysis of circular economy, etc. , The accounts are available for 2018 and 2020. Not all data are fully comparable across the two years due to changes in data sources and introduction of new methods., Statistical presentation, The accounts present information about flows of natural resources, goods and residuals (waste and emissions to air, etc.) measured as tonnes per year. The accounts include all type of materials, which are used or supplied. , The flows are recorded by industries and other categories, e.g. extraction from nature, imports, exports, private and government consumption, emissions to the environment, etc. , The accounts are balanced, which means that the quantity of materials used by an industry equals the quantity of materials, that leaves the industry as sold products and residuals. , Read more about statistical presentation, Statistical processing, The accounts are based on several sources, for instance, International Trade in Goods, Purchases by Manufacturing Industries, National accounts, and Environmental-Economic Accounts supplemented by data from e.g. the Danish Environmental Protection Agency and websites and organizations and companies., The primary data are processed and supplemented by estimations and allocations, after which they are organised in a so-called physical supply-use table. Finally, this table is adjusted in such a way that supply equals use., Read more about statistical processing, Relevance, The accounts are of relevance to all, who are interested in information about those physical material flows that take place in relation to the Danish economy. It can be used as a basis for analysis of the circular economy, e.g. for analysis of which industries that use or produce certain types of materials. , Read more about relevance, Accuracy and reliability, In general it can be assumed that there are less uncertainties associated with data obtained directly from primary statistics, while data that results from estimations and allocations will be associated with more uncertainties. , The balancing item, which is represented in the accounts, is to some extent a result of inaccuracies related to other items in the accounts. However, it cannot directly be used as a measure of the uncertainties, since it may also reflect other special relations., No estimations of the magnitude of the uncertainties have been made. , Read more about accuracy and reliability, Timeliness and punctuality, The accounts for 2020 have been published 4 years and three months after the end of the reference year (2020). The accounts are published without delay compared to the announced time of publication in the release calendar., Read more about timeliness and punctuality, Comparability, The accounts are available for 2020 and 2018, and in an earlier version for 2016. The versions are not fully comparable due to changes in source data and methods. , This type of accounts is - as far as we know - only available for the Denmark and the Netherlands, but with different classifications. Thus, it is not possible to make direct international comparisons. , For certain items it is possible to compare over time and with other countries by looking at the primary data that lie behind the accounts., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under the subject , Detailed material flow accounts, . Selected items from the accounts are published in Danish publications., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/detailed-material-flow-accounts--physical-supply-use-tables-

    Documentation of statistics

    Documentation of statistics: Indices of Average Earnings for the Private Sector (Discontinued)

    Contact info, Personal Finances and Welfare , Get documentation of statistics as pdf, Indices of Average Earnings for the Private Sector 2019 , Previous versions, Indices of Average Earnings for the Private Sector 2018, Indices of Average Earnings for the Private Sector 2017, Indices of Average Earnings for the Private Sector 2016, Indices of Average Earnings for the Private Sector 2015, Indices of Average Earnings for the Private Sector 2014, The purpose of the index of average earnings is to indicate trends in earnings for different industries in the private sector exclusive of enterprises categorised as public administration or -services (state, regional or municipal). The index of average earnings was first published for the first quarter of 1994 under the name , the index of average earnings in the private sector, . Since then the index has been published based on the Danish Industrial Classification of 1996 (DB96), Danish Industrial Classification of 2003 (DB03) and since the third quarter of 2008 based on the Danish Industrial Classification of 2007 (DB07). Moreover, the index of average earnings replaced the index of hourly earnings for workers in manufacturing industry and the index of monthly earnings for salaried employees in manufacturing industry, which were discontinued at the end of 1997., Statistical presentation, The index of average earnings comprises all employees, salaried employees (white collar employee or officials) and wage-earners (blue collar workers) as well as apprentices and young people under 18 years employed in a business enterprise with 10 or more persons in the private sector. The entire private sector is covered by the indices, including e.g. employees in private schools and private hospitals. Still, the index does not include enterprises belonging to either the agriculture or fisheries industries. In accordance with the nomenclature DB07 (Danish Industrial Classification 2007), the the index is broken down by industry and since the third quarter of 2008 published at the most detailed level according to the 36-grouping in DB07. For a period between the first quarter of 2005 and the second quarter of 2008, the indices were only published at the 10-grouping level., Read more about statistical presentation, Statistical processing, Data are collected from the private enterprises and organisations that are included in the sample and cover the second month of the quarter in question. To start with, a rough search for errors is performed on the data. Then, the change in the average earnings per hour from the previous quarter is calculated for each enterprise. Only enterprises where data exists for both quarters are included in the computations. The average hourly wage per observations in the sample is then weighted to take account of all enterprises in a specific branch of economic activity in the population. A total figure for the average hourly wage and the rate of increase from the last quarter is then calculated for each branch of economic activity. After this the index point and the annual rate of increase is calculated for each branch. Finally the total index point and annual rate of increase is found as a total for all branches., Read more about statistical processing, Relevance, Private corporations and organisations in Denmark and abroad, and ministries and other public institutions are the most frequent users of the index. The index is especially used in relation to regulation of contracts. In addition to that, the index plays a vital part in the wage negotiations of employees in the public sector., Read more about relevance, Accuracy and reliability, The accuracy and reliability is mainly affected by two factors. First of all, the index is based on a sample, which in itself cause some uncertainty. Second of all, there is some uncertainty connected to the completeness in the collected data, which is often caused by errors in the way the system is generated for transmission of data. An example of this is a payroll system where the different wage compositions are not correctly linked or reported, and thus give an inaccurate picture of the development of wages. The problem with errors like these is that they tend to be difficult to discover. For example would reporting of a low and wrong value for irregular payments result in too high calculation of wage developments, as the irregular payments could not be separated from the wage component., Read more about accuracy and reliability, Timeliness and punctuality, The index of average earnings is published approximately 60 days after the end of the quarter in question. The punctuality of the publication is considered high and there has been no delays of any kind during the last years., Read more about timeliness and punctuality, Comparability, The index of average earnings for Corporations and Organizations, replace , the index of average earnings of the private sector, which was last published for the fourth quarter of 2013. The comparability of the two indices is considered to be high. The difference has to do with the new applied delimitations of the sectors, where some of the public owned enterprises, such as Danish Railways (DSB) and some of the municipal owned resource centers, now according to the new delimitations of the sectors belong to “the index of average earnings of Corporations and Organizations”. The new sector delimitations were applied in the indices going back to first quarter of 2013, where it caused a small data breach., Read more about comparability, Accessibility and clarity, These statistics are published in the Statbank under , Implicit index of average earnings, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/indices-of-average-earnings-for-the-private-sector--discontinued-

    Documentation of statistics

    Documentation of statistics: Public Expenditure and Revenue on the Environment

    Contact info, Government Finances, Economic Statistics , Jonas Foged Svendsen , +45 21 34 73 19 , JFS@dst.dk , Get documentation of statistics as pdf, Public Expenditure and Revenue on the Environment 2024 , Previous versions, Public Expenditure and Revenue on the Environment 2023, Public Expenditure and Revenue on the Environment 2022, Public Expenditure and Revenue on the Environment 2021, Public Expenditure and Revenue on the Environment 2018, Public sector environmental protection plus environmental related taxes and subsidies 2017, Public sector environmental protection plus environmental related taxes and subsidies 2016, Public sector environmental protection plus environmental related taxes and subsidies 2016, Public sector environmental protection plus environmental related taxes and subsidies 2014, Public Expenditure and Revenue on the Environment 2013, Public Expenditure and Revenue on the Environment 2012, The statistics Public Expenditure and Revenue on the Environment are part of the green national accounts. The statistics establishes a link between public expenditure and revenue and public environmental protection activities. The statistics are used, inter alia, in relation to political decisions in the environmental field, environmental economic analyses and international comparisons of the various EU countries' environmental efforts. The statics date back to 1995. , Statistical presentation, The statistics is an annual measurement and consist of three focus areas: environmental protection, green taxes and environmental subsidies. In conjunction with a number of international classifications, these focus areas form the framework for the link between public expenditure and revenues and the public environmental protection activities. The focus areas of the statistics are also linked to a description of the public sector as a sector consisting of state, municipalities, regions and public corporations., Read more about statistical presentation, Statistical processing, The data sources for this statistics consist of accounts from state, municipalities, regions and public corporations that are coded for national accounts based on the manual of the European National Accounting System (ESA2010) and stored in the database DIOR (Database for Integrated Public Accounts). Based on thorough analyses, a list of criteria is drafted, which determines which account items are to be drawn from DIOR in order to compile the statistics. The selected account items are sorted and aggregated according to environmental purposes and categories, real-economic type and sector., Read more about statistical processing, Relevance, The figures in these statistics are relevant, among other things, in connection with political decisions in the environmental field, environmental economic analyses and international comparisons of the individual EU countries' environmental efforts. The most obvious users of the statistics are various ministries, agencies and organizations, as well as media and research institutions. Statistics Denmark receives information about the users' needs and satisfaction via the Contact Committee for Environmental Economic Accounts and Statistics., Read more about relevance, Accuracy and reliability, It is estimated that green taxes are the most accurate of the three main areas of the statistics, followed by environmental subsidies and environmental protection respectively. Sources of uncertainty include: misstatements in public accounts, the risk of overlooked items, the risk of incorrectly included items, the possibility of misclassification, and uncertainty regarding estimates of the environmental share of various accounts. Furthermore, the industry distribution of green taxes and environmental subsidies is based on a number of assumptions, which are also subject to uncertainty., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published annually one month after the publication of the public finance accounts. The figures follow the National Accounts audit schedule and will only be finalized three years after the end of the accounting period. The statistics are usually published without delay in relation to the time announced., Read more about timeliness and punctuality, Comparability, The figures in these statistics are comparable to other statistics in several different ways. Through transmissions to Eurostat, the figures are made comparable with the other EU countries according to Regulation No 691/2011 of the European Parliament and of the Council on European environmental economic accounts. The figures are comparable over time, and finally the figures are comparable to other figures within the national accounting framework., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish , press release, . The figures can be found in the StatBank under , Green Economy, . In addition, these statistics feature in the , Environmental-Economic Accounts, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/public-expenditure-and-revenue-on-the-environment

    Documentation of statistics