Search result

Documentation of statistics: Sales of housing cooperatives

Contact info, Prices and Consumption, Economic Statistics , Jakob Holmgaard , +45 24 87 64 56 , JHO@dst.dk , Get documentation of statistics as pdf, Sales of housing cooperatives 2025 , Previous versions, Sales of housing cooperatives 2024, Sales of housing cooperatives 2022, The purpose of the statistics for cooperative housing is to monitor the price development in the property value of the cooperative housing units traded. The statistics has been produced since November 2023 and covers the period from 2015Q1 and onwards and it is comparable throughout the entire period., Statistical presentation, The statistics for cooperative housing is a quarterly price index for the property value of the cooperative housing units traded. The statistics contains price indices to describe the price development over time and numbers for the use of different valuation principles. The statistics includes all traded cooperative housing units that have been registered through http://www.andelsboliginfo.dk. This registration has been mandatory for the cooperative housing associations since June 1st 2021., Read more about statistical presentation, Statistical processing, Key figures on cooperative housing associations and cooperative housing units are reported to Statistics Denmark through http://www.andelsboliginfo.dk on a quarterly basis. The collected data is validated by Statistics Denmark and enriched with data from the Danish Buildings and Dwellings Register which is validated. Finally, price indices and the distribution of valuation principles are calculated., Read more about statistical processing, Relevance, The statistics are relevant for banks and the financial sector, estate agents, politicians and actors in the cooperative housing sector who use the figures for analyses of price developments and assessments of regulation in the housing market. As there used to be limited statistics on cooperative housing, the statistics contribute to a more transparent housing market., Read more about relevance, Accuracy and reliability, The precision of the calculated price development depends on the hedonic regression which ensures the quality correction of the cooperative housing units sold and on the collected data. The development in the choice of valuation principles in the data from 2015 and onwards is assessed to be fairly accurate., The statistics for cooperative housing is based on information from http://www.andelboliginfo.dk which is a register of sold cooperative housing in Denmark. Thus, the reliability of the preliminary figures is assessed to be acceptable. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics on cooperative housing publishes preliminary quarterly figures two months after the end of the reference period. It has not been decided when the figures are final. The statistics on cooperative housing is published without delay with regards to the planned publications., Read more about timeliness and punctuality, Comparability, Comparable house sales statistics for all EU member states can be found on the , Eurostats website, where figures are published around 100 days after the end of a quarter (reference period)., Read more about comparability, Accessibility and clarity, The statistics for cooperative housing is published on a quarterly basis in the , Statbank, and yearly in , Nyt fra Danmarks Statistik, along with the publication of the 4th quarter., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Housing benefits

Contact info, Labour Market, Social Statistics , Morten Steenbjerg Kristensen , +45 20 40 38 73 , MRT@dst.dk , Get documentation of statistics as pdf, Housing benefits 2025 , Previous versions, Housing benefits 2024, Housing benefits 2023, Housing benefits 2022, Housing benefits 2021, Housing benefits 2020, Housing benefits 2019, Housing benefits 2018, Housing benefits 2017, Housing benefits 2016, Housing benefits 2015, Housing benefits 2014, Housing benefits 2013, Documents associated with the documentation, Social tryghed i de nordiske lande (pdf) (in Danish only), Housing benefit is a tax free subsidy granted to households with high housing expenses relative to the household income. The purpose of the statistics on housing benefit is to elucidate the number of beneficiaries of housing benefit and the amount received in benefit. The housing benefit statistics date back to 1967, but is in the current format comparable back to 2007., Statistical presentation, The statistics on housing benefits cover statistics on the number of all beneficiaries (i.e. households), and amounts granted on a monthly basis. Rent subsidies (for non-pensioners, as well as to early retirees, who have been assigned pension after January 1st 2003) and housing allowances (for retirees) depending on a number of variables (type of benefit, rent income and number of children)., Read more about statistical presentation, Statistical processing, Data for these statistics are collected monthly from Udbetaling Danmark via a system-to-system connection. Data are treated annually. Invalid data are excluded. Afterwards, the data is aggregated by the type of housing benefit, municipality and age., Read more about statistical processing, Relevance, These statistics are relevant for various Ministries, municipalities, researchers, and KL- Local Government Denmark and researchers. The statistics are used internally in Statistics Denmark, Municipal budgets and to assess the law on individual housing benefits., Read more about relevance, Accuracy and reliability, The statistics are based on administrative registers of housing benefits, but errors and duplicates may occur in the register. Invalid data and duplicates are removed (less than 0.01 pct.). The housing benefit amounts are overestimated compared to reality, since months with less than a full month's housing eligibility are included as a full month in the statistics. Only final figures are published., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published three months 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, Statistics on housing benefits in Denmark date back to 1967. The statistics are comparable since 1983 in its current format. The statistics are produced according to common European guidelines and are therefore comparable to statistics from other countries published in Eurostat., Read more about comparability, Accessibility and clarity, These statistics are published yearly 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 , Housing benefits, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/housing-benefits

Documentation of statistics

Classification on education (DISCED-15), current educations, v1:2023

Please note, a more current version of this classification is now available. See the current version , here., Name: , DISCED15_UDD_HOVED_V1_2023 , Description: , DISCED-15 is Statistics Denmark's classification system for education., DISCED-15 acts as a classification system across statistics-producing authorities within the education sector in Denmark. At the same time it ensures a clear connection to the international classification system , International Standard Classification of Education (ISCED), ., All educations in DISCED-15 have a four-digit code, e.g. , 4280: Electrician, , which is aggregated in four different ways. The classification system thus organises education and training programs in the following four dimensions:, Main area, Classification of educational programs which follow the structure of the Danish education system, as regulated by law for higher education and for the admission to vocational education., Types of education, Classification of education programs by type, which makes it possible to differentiate the educations in the Danish education system by type of education, regardless of the level of the educations, fields of education or main area., Levels of education, Classification of education programs in the Danish education system by levels, which are consistent with the international education classification ISCED-P (levels of education)., Fields of education, Classification of educational programs by fields, regardless of the levels of the educations. The basic principle in the construction of the fields of education follows the idea of ​​which employment function or industry the education is oriented towards with a view to later employment. Classification by fields of education ensures complete comparability between the Danish education classification and the international education classification ISCED-F (fields of education and training)., Valid from: , February 1, 2023 , Valid to: , January 31, 2024 , Office: , Befolkning og Uddannelse , Contact: , Martin Herskind, , hrs@dst.dk, , ph. +45 21 34 03 31 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification on education (DISCED-15), current educations, v1:2026, February 1, 2026, Still valid, Classification on education (DISCED-15), current educations, v1:2025, February 1, 2025, January 31, 2026, Classification on education (DISCED-15), current educations, v1:2024, February 1, 2024, January 31, 2025, Classification on education (DISCED-15), current educations, v1:2023, February 1, 2023, January 31, 2024, Classification on education (DISCED-15), current educations, v1:2022, February 1, 2022, January 31, 2023, Classification on education (DISCED-15), current educations, v1:2021, February 1, 2021, January 31, 2022, Classification on education (DISCED-15), current educations, v1:2020, February 1, 2020, January 31, 2021, Classification on education (DISCED-15), current educations, v1:2019, February 1, 2019, January 31, 2020, Classification on education (DISCED-15), current educations, v1:2018, February 1, 2018, January 31, 2019, Classification on education (DISCED-15), current educations, v1:2017, February 1, 2017, January 31, 2018

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disced15-udd?id=10bd06b8-5633-4790-a32e-4edbcf5f91da

Documentation of statistics: Labour Market Account

Contact info, Labour Market , Pernille Stender , +45 24 92 12 33 , PSD@dst.dk , Get documentation of statistics as pdf, Labour Market Account 2021 , Previous versions, Labour Market Account 2019, Labour Market Account 2016, Labour Market Account 2015, Labour Market Account 2013, Labour Market Account 2014, New Labour Market Account concerning the population´s labour market status have been developed by Statistics Denmark. , The primary purpose of the Labour Market Accounts (LMA) is to provide a complete overview of the population´s labour market status compiled in terms of full-time persons, covering a given period of time or a given point-in-time., Statistical presentation, The Labour Market Account is compiled annually and provides information on the population´s labour market status, where labour-market related activities are given the highest priority. The statistics are compiled in terms of full-time persons. , Data on the population´s labour market status are broken down by socio-economic groups i.e. persons in employment, students, unemployed persons and other persons receiving public benefits, children and young people and other people outside the labour force., Read more about statistical presentation, Statistical processing, The primary statistical data for the LMA is a newly developed register called the AMR-UN (LMA without standardization of hours)., The AMR-UN is composed of administrative data, which are integrated and harmonised in a statistical system. , On the basis of the AMR-UN, the LMA is constructed by means of an hourly standardization of the population´s labour market status, where a person can at maximum contribute with 37 hours per week, corresponding to the existing hourly standard., Read more about statistical processing, Relevance, Over a number of years Statistics Denmark has carried out work on developing the LMA. Several users have indicated their great interest in and expectations with regard to the statistics/register. , Users of the LMA are typical ministries, organisations and research institutes, etc., Read more about relevance, Accuracy and reliability, In the LMA, a wide range of data sources are subjected to data editing and harmonisation in one statistical system. This implies that the LMA can conduct far better analyses of the labour market than the analyses that can be conducted by each individual statistic. At the same time, the LMA constitutes a census of the population and consequently, the statistical uncertainty is reduced compared to statistics compiled on the basis of sample surveys., Against this background, the quality of the statistics is considered to be relatively high. Despite this, there is still some degree of uncertainty linked to the statistics., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 15 months after the reference year., Read more about timeliness and punctuality, Comparability, The statistics cover the period 2008 to 2021, and during this period the development are comparable. , Read more about comparability, Accessibility and clarity, The statistic is published i the statbank , Labour market accounts, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/labour-market-account

Documentation of statistics

Documentation of statistics: Sickness benefits

Contact info, Labour Market, Social Statistics , Mikkel Zimmermann , +45 51 44 98 37 , MZI@dst,dk , Get documentation of statistics as pdf, Sickness benefits 2025 , Previous versions, Sickness benefits 2024, The purpose of the Sickness Benefits statistics is to provide information about the costs of sickness benefits and the number of sickness benefit recipients, both in terms of the number of people affected and the number of full-time employees. The statistics have been compiled since 1995, but are in their current form comparable from the year 2020 onwards., Statistical presentation, Sickness benefit is an annual statement of the number of people, benefit days and amounts paid out in connection with illness. Furthermore, the extent of partially resumed work is calculated. The data is broken down by labour market affiliation, age, gender and geography. Furthermore, figures from the Sickness Benefit Statistics are included in the statistics Persons below the state pension age on public benefits, Labour Market Accounts and Absence, where the extent of absence due to illness is put into a larger context., Read more about statistical presentation, Statistical processing, When the data is received, all fields are checked by machine and the number of observations received matches the number of observations sent by KMD. If the data delivery cannot be approved, KMD's service desk is contacted in order to correct the delivery., Read more about statistical processing, Relevance, Sickness benefit statistics tell us how many man-years Danish society loses due to long-term illness and how long it will take the long-term sick person to return to the labour market if he or she returns., Read more about relevance, Accuracy and reliability, The statistics summarise the reports of illness that have triggered the payment of unemployment benefits. The expectation is that all sickness benefit cases with payment are reported. Therefore, the statistics can be expected to be accurate in relation to actual payments. However, some cases are not reported until long after the end of the period to which the case relates, which is why the last quarter is not fully updated. The delayed updates result in a revision the following year that is in the order of 0.5 per cent in an upward direction., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published annually at the beginning of April the year after the reference year. The statistics are usually published without delay in relation to the announced date, Read more about timeliness and punctuality, Comparability, The statistics are influenced by Danish legislation. Over the years, the period the employer must pay for in connection with illness has been increased from 14 days to 30 days, and as of December 2012, the right to receive sickness benefits on public holidays was cancelled., Read more about comparability, Accessibility and clarity, In Statistics Bank Denmark the statistics are published in the tables under the subject , Sickness benefits, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sickness-benefits

Documentation of statistics

Documentation of statistics: Recidivism

Contact info, Population and Education, Social Statistics , Iben Birgitte Pedersen , +45 23 60 37 11 , IPE@dst.dk , Get documentation of statistics as pdf, Recidivism 2023 , Previous versions, Recidivism 2022, Recidivism 2021, Recidivism 2020, Recidivism 2019, Recidivism 2018, Recidivism 2017, Recidivism 2014-2016, Recidivism 2013-2015, Recidivism 2012-2014, Recidivism 2011-2013, Recidivism 2010-2012, The purpose of Recidivism is to analyze the extent of new criminality among persons who have been released after serving in jail or have received a guilty decision during a calendar year., The statistics on Recidivism was made up the first time for persons released or convicted in 2007 and has hereafter been produced annually., Statistical presentation, The statistics on recidivism form part of the criminal statistics. The criminal statistics include statistics on criminal cases as reported criminal offences, victims of reported criminal offences, imprisonments and convictions., The statistics shed light on new criminality among people who have been released after serving in jail or have received a guilty decision during a year. The extent and type of new crimes committed during a follow-up period of two years are calculated. , Furthermore, information on level of education and the extent of criminality the five years previous to the actual year form part of the statistics., Read more about statistical presentation, Statistical processing, The source to the statistics are data from other statistical registers operated by Statistics Denmark. Data from the registers are delivered yearly via System-to-system-transmission. Data are already validated. However, central variables go through a probability check in form of a comparison with data from the previous year. Data about decisions, charges and admissions to prisons from Statistics Denmark's criminal statistical registers are linked to data from Statistics Denmark's register of the population's highest level of education and Statistics Denmark's register of Populations Statistics., Read more about statistical processing, Relevance, Statistikken bliver anvendt bredt af myndigheder, organisationer, forskere, pressen mv. Tabellerne i Statistikbanken er hyppigt anvendt. Fremsatte synspunkter og ønsker fra centrale brugere tages i betragtning ved udarbejdelse af statistikken., Read more about relevance, Accuracy and reliability, The statistics on recidivism is based on other of Statistics Denmark's statistical registers where the reliability is considered to be good. However, the number of emigrants is assessed to be under-estimated with 15-20 percentages. The statistics include persons who are registered with a decision in the central criminal register at the time the extract to Statistics Denmark is done. A number of decisions made during the calendar year will happen not to be registered at that time. That implies that the total number of persons in the defined population presumably is under-estimated., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 1 year and 9 months after the end of the reference period. The punctuality is very high as the statistics usually are published without delay in relation to the scheduled time., Read more about timeliness and punctuality, Comparability, Since 2007, the statistics has been prepared on the same date source. In general the statistics is therefore comparable during time., Some of the published data are not available for all years., No international comparable statistics are available., Read more about comparability, Accessibility and clarity, The statistics on convictions are published in: , News from Statistics Denmark, , the publication , Kriminalitet (Criminality), and in , StatBank, ., At Statistics Denmark's webpage the statistics furthermore are presented on its , Subject Page, ., Taylor made statistics can be prepared on bases of the ready-made files. Through Statistics Denmark's Division of Research Service it is possible for researchers to be granted access to anonymized data., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/recidivism

Documentation of statistics

Documentation of statistics: Economics of Agricultural Activities

Contact info, Food Industries, Business Statistics , Henrik Bolding Pedersen , +45 20 57 88 87 , HPE@dst.dk , Get documentation of statistics as pdf, Economics of Agricultural Activities 2024 , Previous versions, Economics of Agricultural Activities 2023, Economics of Agricultural Activities 2022, Economics of Agricultural Activities 2021, Economics of Agricultural Activities 2020, Economics of Agricultural Activities 2019, Economics of Agricultural Activities 2018, Economics of Agricultural Activities 2017, Economics of Agricultural Activities 2016, Economics of Agricultural Activities 2015, Economics of Agricultural Activities 2014, The purpose for this statistics for Economics of agricultural activities are to analyze the economic results for individual crops and livestock production. This also applies to horticultural crops. The statistics are based on holdings that have a work equivalent to at least 1 annual work unit (1 AWU equals 1,665 working hours). Holdings are weighted together, achieving a representative statistics for full-time farms. The basic accounts statistics for agriculture has been compiled since 1916 while the economics of agricultural activities is comparable 2021 onwards. In StatbankDK archive a time series for 2008-2021 can be found. , Statistical presentation, The statistics show economic results of production branches in agriculture. It shows results for crops and livestock on full-time farms and is based on accounting data distributed across 36 production branches. The statistics include, among other things, production value, costs, working hours and key figures. The figures are published in https://www.Statbank.dk and in "Nyt" from Statistics Denmark., Read more about statistical presentation, Statistical processing, The main source to the statistic is account information from accounting offices organized in SEGES. This information is retrieved electronically from the accounting system Ø90 supplemented with necessary additional information (eg. working hours). In addition some financial data for a small number of holdings are retrieved from other accounting offices., The holdings in the sample are checked for outliers and might be excluded in total or from certain activities. The holdings in the final sample are weighted to the population., Read more about statistical processing, Relevance, These statistics are primarily used by researchers and authorities as input into economic models and analyzes., Read more about relevance, Accuracy and reliability, By selection priority is given to farms included in the statistics several years in a row. Together with a uniform collection of data from Ø90 this ensures a high overall reliability of data. , Read more about accuracy and reliability, Timeliness and punctuality, This statistic is normally published with preliminary data within 12 month after closure of the relevant accounting year. Data are final app. three years after closure of the accounting year., Read more about timeliness and punctuality, Comparability, Data from 2021 onwards are comparable. There are no EU based systematic similar statistics for other countries., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release, at the same time as the tables are updated in the StatBank., For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/economics-of-agricultural-activities

Documentation of statistics

Documentation of statistics: Public Funding for Cultural Purposes

Contact info, Science, Technology and Culture, Business Statistics , Anne-Sofie Dam Bjørkman , +45 20 37 54 60 , ASD@dst.dk , Get documentation of statistics as pdf, Public Funding for Cultural Purposes 2025 , Previous versions, Public Funding for Cultural Purposes 2024, Public Funding for Cultural Purposes 2023, Public Funding for Cultural Purposes 2022, Public Funding for Cultural Purposes 2021, Public Funding for Cultural Purposes 2020, Public Funding for Cultural Purposes 2019, Public Funding for Cultural Purposes 2018, Public Funding for Cultural Purposes 2017, Public Funding for Cultural Purposes 2016, Public Funding for Cultural Purposes 2015, Public Funding for Cultural Purposes 2014, The purpose of the statistics Public Funding for Cultural Purposes is to provide a comprehensive overview of public funding for cultural purposes by collecting all data on public cultural budgets. Previously, the statistics was compiled by the Ministry of Culture and results were disseminated through the publication , Kulturpengene, . The statistics describes the magnitude and categories of the public funds for cultural purposes and has been compiled in this form since 2007., Statistical presentation, These statistics present annual accounts of the public funding for cultural purposes in DKK million by cultural domains, purpose, financing arrangement and financing type. The statistics detail the funds allocated by the central government and local authorities for purposes within the domain of the Ministry of Culture. Funds are allocated to cultural institutions, projects and individuals and are used for operating institutions, subsidies for specific activities and projects, scholarships, etc., Read more about statistical presentation, Statistical processing, Data on State funding is delivered by the Ministry of Culture. Data on municipal funding is drawn from Statistics Denmark's account of budgets of municipalities. Electronic data editing as well as manual checks of the results are performed by Statistics Denmark before publication. Results are compared to last year's results and the occurrence of new purposes are verified by the Ministry of Culture., Read more about statistical processing, Relevance, The statistics are relevant for private individuals, companies and public authorities as the basis for e.g. forecasts, analyzes, contract regulation, public and private planning purposes in the cultural field., Read more about relevance, Accuracy and reliability, Data for these statistics are derived from authorized and central sources such as the National Budget, Supplementary Funds Records and the municipal budgets. No uncertainty calculations are available, but the overall accuracy for state funds is considered to be very high and is reported annually by the Ministry of Culture. The municipal budgets are supplied from the municipalities’ own financial systems and are also considered to have very high reliability. If cultural appropriations in the municipalities fall outside the statistical definition of cultural purposes, they are not included in the statistics., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published without delay. Data collection awaits endorsement of the Supplementary Funds Record by the Parliamentary Committee on the National Budget, which usually occurs in May of the fiscal year. Given a processing period of approximately two months, the annual statistics are expected to be available in August., Read more about timeliness and punctuality, Comparability, Statistics on the state funding are comparable to the National Budget publication from the Ministry of Finance. Media License Fees are detailed in the annual budget record on determination of the Media License Fees. Lotto funds for cultural purposes are itemized in the annual Supplementary Funds record on the allocation of Lotto funds for cultural purposes. For municipal funds, statistics are partially comparable with statistics from Statistics Denmark's Budgets of municipalities and regions. , Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under the subject , Economy in the cultural field, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/public-funding-for-cultural-purposes

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: 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