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Documentation of statistics: Home Appliances (Discontinued)

Contact info, Prices and Consumption, Economic Statistics , Zdravka Bosanac , +45 61 15 16 74 , ZBO@dst.dk , Get documentation of statistics as pdf, Home Appliances 2023 , Previous versions, Home Appliances 2022, Home Appliances 2020, Home Appliances 2019, Home Appliances 2018, Home Appliances 2017, Home Appliances 2016, Home Appliances 2015, These statistics shows Danish families' possession of electronics in the household. New electronic products are constantly being developed, which over time become commonplace in Danish homes. The products in the statistics are replaced on an ongoing basis, so that new ones are included, while others are removed as they have become commonplace, e.g. smart TV. The survey has been compiled since 1990 and the statistics have been comparable ever since. Before 2000, the surveys were conducted in October. Since 2001, data are collected in April., Statistical presentation, These statistics are an annual survey of how many percent of Danish families who possess different types of electronics, e.g. robot vacuum cleaners, smart TV and smart phones etc. , Read more about statistical presentation, Statistical processing, For the time being the sample of an omnibus survey consists of 1,500 persons, drawn from a population of persons aged 16-74 residing in Denmark., As it is not possible to interview all 1,500 persons, each completed interview is given a personal weight, which corrects the effects of non-sampling and non-response (including no telephone) and ensures that the results cover the whole population in the sample. , However, the questions on home appliances do not concern the individual person, but the family he/she is living with. For that reason the answers are given a family weight, which ensures that the families with different numbers of persons aged 16 years or over are represented in the sample with varying probability. A family is defined as one or several persons between 16 and 74 years who live in the same accommodation and are related (includes also cohabiting couples) and their children, though there can only be one married or cohabiting couple in the family. The sum of the family weight for all completed interviews, gives the number of families in Denmark that have persons aged between 16 and 74 years., In the frame of data validation the check of the data correctness is conducted by checking the consistency of the responses by every single respondent, comparison of the results with the results of the previous year, as well as comparison of the non-response rate are also undertaken., Read more about statistical processing, Relevance, The press use the information to inform about developments in home appliances., Read more about relevance, Accuracy and reliability, As the results are based on a sample survey, they are subject to a certain degree of statistical uncertainty. This depends on both the size of the sample and the number of completed interviews, which vary from survey to survey. With a sample of approximately 1,500 persons and a response rate of about 65 pct., which has normally been achieved in the last few years, the statistical uncertainty is in 95 pct. of the cases estimated to range between +/- 3 percentage points., Read more about accuracy and reliability, Timeliness and punctuality, There is no difference between planned and actual release time., Read more about timeliness and punctuality, Comparability, The number and nature of the electronic products, that are included in the studies are replaced along the way, so that new products that - especially as a result of technological development - become interesting are added. Products that have become common property in almost every family are discontinued. Therefore comparison over longer periods some times could be difficult., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release and in the StatBank under , Home appliances, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/home-appliances---discontinued-

Documentation of statistics

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: 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

Classification of education (DISCED-15), completed educations, v1:2026

Name: , DISCED15_AUDD_HOVED_V1_2026 , 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)](https://ec.europa.eu/eurostat/statistics-explained/index.php/International_Standard_Classification_of_Education_(ISCED)#Background). 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, 2026 , 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 of education (DISCED-15), completed educations, v1:2026, February 1, 2026, Still valid, Classification of education (DISCED-15), completed educations, v1:2025, February 1, 2025, January 31, 2026, Classification of education (DISCED-15), completed educations, v1:2024, February 1, 2024, January 31, 2025, Classification of education (DISCED-15), completed educations, v1:2023, February 1, 2023, January 31, 2024, Classification of education (DISCED-15), completed educations, v1:2022, February 1, 2022, January 31, 2023, Classification of education (DISCED-15), completed educations, v1:2021, February 1, 2021, January 31, 2022, Classification of education (DISCED-15), completed educations, v1:2020, February 1, 2020, January 31, 2021, Classification of education (DISCED-15), completed educations, v1:2019, February 1, 2019, January 31, 2020, Classification on education (DISCED-15), completed educations, v1:2018, February 1, 2018, January 31, 2019, Classification on education (DISCED-15), completed educations, v1:2017, February 1, 2017, January 31, 2018

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disced15-audd

Classification on education (DISCED-15), current educations, v1:2026

Name: , DISCED15_UDD_HOVED_V1_2026 , 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, 2026 , 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

Documentation of statistics: Leisure and Business Trips

Contact info, Short Term Statistics , Kari Anne Janisse Arildsen , +45 40 43 38 12 , KJS@dst.dk , Get documentation of statistics as pdf, Leisure and Business Trips 2023 , Previous versions, Leisure and Business Trips 2022, Leisure and Business Trips 2021, Leisure and Business Trips 2020, Leisure and Business Trips 2016, Leisure and Business Trips 2013, The purpose of the survey is to describe the travel patterns of the Danish population. Information is given on use of infrastructure and accommodation. Further information is given on the preferred destinations and expenditures concerning the trips. Statistics Denmark has compiled similar surveys in 1972, 1976 and 1980. In 1995, the survey covered only trips with at least four overnight stays for personal purposes. Since 1996, short leisure trips with 1-3 overnight stays and business trips with at least one overnight stay have also been compiled., Statistical presentation, The survey covers leisure and business trips with nights spent as well as same-day visits made by adult Danes aged 15 or older. In broader terms, the survey covers the travel habits of the adult Danish population., Read more about statistical presentation, Statistical processing, The survey is made on the basis of a randomly selected sample with approx. 6000 interviews in net value (unit nonresponse excluded) among Danish residents aged 15 years+. The sample is then grossed up to the target population (Danish residents aged 15 years+) by using different strata, which refers to groupings based on for instance gender, age, family type, family income and socio group in order to make the sample represent the target population the best way possible. , Read more about statistical processing, Relevance, The survey is used by The European Commission, Danish ministries and business and tourism organizations in the industry in order to monitor the market and develop potential tourism policies. In broader terms, the survey can also be used for educational purposes and as an indicator that tells something about the travel habits and behavior of the Danish population and of the society and the economic situation in general., Read more about relevance, Accuracy and reliability, The statistics are affected by statistical sampling errors and memory bias, especially regarding the expenditure questions., Due to the sampling method, statistical errors do occur. For the net propensity to undertake a holiday trip the interval made up as the estimated value +/- 2 per cent will contain the true value in 95 per cent of the cases., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published annually approx. 7 months after the end of the reference year. The statistics is published according to schedule., Read more about timeliness and punctuality, Comparability, The statistics is mandatory and in coherence with other EU-statistics. The statistics for 1995 and subsequent years are fully comparable. The key figures for the period before 1995 data are generally comparable. Changes were made in the questionnaire in 2008, 2010 and 2017, and the statistic is therefore not comparable over time. , Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release and in the StatBank under , Holiday and business trips, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/leisure-and-business-trips

Documentation of statistics

Documentation of statistics: Social resources

Contact info, Personal Finances and Welfare , Birgitte Lundstrøm , +45 24 21 39 65 , BLS@dst.dk , Get documentation of statistics as pdf, Social resources 2022 , Previous versions, Social resources 2021, Social resources 2020, Social Resources 2019, Social Resources 2018, Social Resources 2017, Social Resources 2016, Social Ressources – Elderly and Adults 2015, Social Ressources – Elderly and Adults 2014, The purpose of the survey is to establish the available social resources (capacity, number of users, and general organization, etc.) in Danish municipalities. Furthermore, the survey analyses the social- and health-care related services administered by municipalities. These services include care for the elderly, dental services for children and young people and special institutions for children and young people etc. The social resources survey includes public and privately owned institutions. The statistics are published for the first time in 1972 but have been changed over time due to changes in legislation an user needs., Statistical presentation, Social resources is a yearly measurement of social services delivered by municipalities concerning care for elderly, adults and children and young people receiving social benefits . The data are published for Denmark as a whole. Some data are further more grouped by regions or municipalities. , Read more about statistical presentation, Statistical processing, Data are collected yearly from municipalities from six questionnaires. Data are validated against previously collected information and controlled for large variances over time. Further more data are checked for inconsistency and validated against legal developments at the area. Some data concerning age distribution are imputed where municipalities have only registered total data. , Read more about statistical processing, Relevance, The statistics are primarily of interests for the central government and various government boards and are used for estimating and planning capacity and occupancy rates within social services. Core actors and users of the survey are actively involved in adjusting the content each year which means that user needs are taken into account., Read more about relevance, Accuracy and reliability, The survey is a full-scale census based on responses from all municipalities. In some cases it is difficult for the municipalities to provide the correct data from their systems or they change their way of reporting data. In these cases data received might be less accurate of vary over time. A certain statistical uncertainty is caused by municipalities difficulties with estimating different services and caused by different administrative practices between municipalities. , Read more about accuracy and reliability, Timeliness and punctuality, Most of the information are collected for one single week in April depending on Easter. In some cases data are collected for the entire previous year. A Danish press release and a number of corresponding tables (RESI01, RESP01, RESDHJCE, RESMAD, RESANDHJ, RESPLEJV, RESPRVHJ, RESTAND) are published at the end of November then same year. The rest of the tables (RESFAMPL, RESHJMTR, RESLED, RESFDPJ, RESSBU2) are published in the Statbank at the end of March the following year. These statistics are normally published without delay, with reference to the announced time of publication in the release calendar., Read more about timeliness and punctuality, Comparability, The survey goes back to 1972. However, due to yearly changes the version used in 1972 has little in common with the one used today. Furthermore, due to the municipal reform there was a break in times series in 2006 and 2007. The totals for the country as a whole are, however, comparable before and after the reform., Read more about comparability, Accessibility and clarity, These statistics are published once a year in a Danish press release. Further more the statistics are published in the StatBank under the subjects:, Elderly people receiving social benefits, , , Disadvantaged children and young people, , , Disability care, , , Health, Visits to physicians, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/social-resources

Documentation of statistics

Documentation of statistics: The Supply and Use of Cereals and Feed

Contact info, Food Industries, Business Statistics , Simone Thun , +45 51 36 92 51 , SIT@dst.dk , Get documentation of statistics as pdf, The Supply and Use of Cereals and Feed 2023 , Previous versions, The Supply and Use of Cereals and Feed 2022, The Supply and Use of Cereals and Feed 2021, The Supply and Use of Cereals and Feed 2018, The Supply and Use of Cereals and Feed 2016, The Supply and Use of Cereals and Feed 2014, The purpose with the statistics on the Supply and Use of Cereals and Feed is to show the annual use of feed for animals and the use cereals, which is a part of the calculations of the feed consumption. The feed consumption is also calculated after the origin of the feed, if is produced in Denmark or abroad. The statistics is also use for the calculations of the Economic Accounts for Agriculture. The supply and use of cereals and feed have been compiled since 1900, but data in its present form are comparable from 1990 and onwards. , Statistical presentation, The statistics are an annual calculation of agriculture's feed supply and feed consumption calculated in millions. kg and million DKK. Feed supply and feed consumption are calculated for a large number of feed materials by drawing up balance sheets. It is calculated for both calendar year and operating year and by origin., Read more about statistical presentation, Statistical processing, Data for compiling the Supply and Use of Cereals and Feed are sourced from various other statistics and the data are are processed and aggregated. The Supply and Use of Cereals and Feed are produced by setting up balances for each individual feed material. The purpose of these balances is to calculate how much is used for feed, ensuring that supply equals usage. The feed balances establish and sum up Danish production and foreign production, subtracting exports. The remaining quantity is recorded as consumed for feed, divided into domestic and foreign consumption. For certain crops and feed materials, stock levels are added to the balance. The compilation is primarily based on the fiscal year, as this approach is considered more reliable. However, calendar-year compilations are also created to support the calculation of the Economic Accounts for Agriculture (EAA)., Read more about statistical processing, Relevance, It is relevant for the agricultural organizations, ministries and agencies, who uses it to follow the development in the amounts and costs of cereals and feed. Moreover it is an input to the Economic Accounts for Agriculture e.g. to the valuation of feeding stuff. The users can comment on the statistics in the user committee for agricultural statistics and the users have expressed satisfaction with the statistics. , Read more about relevance, Accuracy and reliability, The Supply and Use of Cereals and Feed are among other things build on sample surveys for stock of cereals at farms, the harvest of cereals and international trade of goods and the results are therefore subject to some uncertainty. The data on the use of cereals for feeding are subject to some margin of errors, as the use for feeding is calculated as a residual in the balance sheets. Surveys on stocks and turnovers at cereal trading companies are censuses and the results are quite accurate. Changes in stocks are also a possibility, which can cause uncertainty., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published once a year in May together with the Economic Accounts for Agriculture, barely 6 months after the end of the reference period. Data is preliminary until 2,5 years after the end of the reference period. The statistics is punctual and is published without delay., Read more about timeliness and punctuality, Comparability, The statistics have been compiled since 1900 but are in their present form comparable from 1990 onwards. It is in compliance with the current EU legislation and it is an input to the Economic Accounts for Agriculture which is comparable to the Economic Accounts for Agriculture published by Eurostat., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under the subject , Feed, fertiliser and pesticides, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/the-supply-and-use-of-cereals-and-feed

Documentation of statistics

Documentation of statistics: Waste Accounts

Contact info, National Accounts, Climate and Environment, Economic Statistics , Maria Skytte Christiansen , +45 24 25 42 07 , MCR@dst.dk , Get documentation of statistics as pdf, Waste Accounts 2023 , Previous versions, Waste Accounts 2022, Waste Accounts 2021, Waste Accounts 2020, Waste Accounts 2019, Waste Accounts 2018, Waste Accounts 2017, Waste Accounts 2016, Waste Accounts 2015, Waste Accounts 2014, Waste Accounts 2013, Documents associated with the documentation, affaldsfraktioner_oversigt_ny3 (pdf) (in Danish only), The purpose of the Waste Accounts is to provide insight into how much waste is generated in different parts of the economy, what types of waste exist, and how it is treated. The accounts also include imports and exports of waste. The Waste Accounts have been published since 2015, based on data from the Danish Environmental Protection Agency. The Waste Accounts is a part of the Environmental-Economic Accounts for Denmark (Green National Accounts)., Statistical presentation, Waste accounts measure the amounts of generated waste distributed to 117 industry groups. Within the industry groups, waste is distributed according to categories and forms of treatment. Imports and exports of waste are distributed according to form of treatment and waste category. The waste accounts are published annually and disseminated through a press release and tables in the StatBank., Municipal waste by municipality, treatment form and waste type is compiled for the first time in 2023., Read more about statistical presentation, Statistical processing, Waste data are validated in the Danish Environmental Protection Agency before Statistics Denmark receives them. The data processing in Statistics Denmark primarily concerns the detailed and complete distribution of the waste to the 117 industry groups of the Green National Accounts., Read more about statistical processing, Relevance, Waste accounts are of relevance for administrative bodies, researchers, NGOs, businesses, the educational sector and individuals - all with interests in waste, resources, economic-environmental interactions, the circular economy etc. To ensure international comparability, the waste accounts are prepared according to the UN statistical standard SEEA (System of Environmental Economic Accounting) 2012., Read more about relevance, Accuracy and reliability, The quality is good concerning the figures for total amounts of waste as well as the amounts for different forms of treatment. However, the distribution by waste fractions become more uncertain at more detailed levels, due to measurement errors (in the reporting)., The detailed distribution according to industry groups is subject to uncertainty, both in the source (ADS) and in the assumptions made in the distribution of waste to detailed industry groups. , Waste by individual municipalities is less precise than totals for the municipality groups due to waste from one municipality being treated at a facility in a different municipality, or waste stations being used by inhabitants of several different municipalities etc., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 21 months after the end of the reference period. The long production time is due to the dependency on data from the Danish Environmental Protection Agency. The statistics are normally released on schedule without delay., Read more about timeliness and punctuality, Comparability, The methods and data sources for the Waste Accounts are unchanged throughout the period covered by published figures. International comparison is possible with all other waste accounts based on UN's statistical standard SEEA 2012., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release and in the StatBank under , Waste Accounts, ., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: High Growth Enterprises

Contact info, Business Dynamics, Business Statistics , Kalle Emil Holst Hansen , +45 21 58 48 87 , KHS@dst.dk , Get documentation of statistics as pdf, High Growth Enterprises 2024 , Previous versions, High Growth Enterprises 2023, High Growth Enterprises 2022, High Growth Enterprises 2020, High Growth Enterprises 2018, High Growth Enterprises 2017, High Growth Enterprises 2016, High Growth Enterprises 2015, High Growth Enterprises 2014, High Growth Enterprises 2012, The statistics High growth enterprises in Denmark was published the first time in 2008. High growth enterprise as well as Gazelles were at that time measured. However, later the statistics was limited to only include Gazelles. The purpose of the statistics "Gazelles in Denmark" is to illustrate the development in the number of gazelles and jobs created in the growth period., Statistical presentation, The statistics counts yearly the number of gazelles in Denmark, as well as jobs created in the growth period. In addition the turnover at the beginning and end of the growth period is available., The growth indicator is the number of employees. The number of employees is converted into full-time equivalents (FTEs). The number of FTEs is used as a measure of the total amount of work performed by the gazelles employees during the year in question., The statistics covers only Non-Agricultural Private Sector., Read more about statistical presentation, Statistical processing, The statistics are based on the Business demography statistics and the information regarding surviving firms up to 5 years old. The information of survival is used to the delimitation of the population to be measured. The enterprise's development in number of full-time employment is measured from start to end of the growth period., Read more about statistical processing, Relevance, The statistics is used by ministries and governmental agencies, regional and county authorities as well as private sector institutions and enterprises. Number of gazelles in Denmark is used in analysis of the development of young high-growth enterprises (gazelles). Moreover, it illustrates the creation of new jobs amongst these enterprises in the growth period. No user satisfaction is collected., Read more about relevance, Accuracy and reliability, There exist a certain uncertainty regarding the identification of real new enterprises in the statistics of business demography, which the statistics Gazelles is based on. If the Business Demography has identified new administrative units incorrectly in relation to whether they are really new, it can affect the start population for these statistics, and thus the companies that have the opportunity to become new high-growth companies., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is available with final figures around 18 months after the end of the reference year. The statistics is published with preliminary data around 10 months after the end of the reference year., The statistics has not previously been delayed., Read more about timeliness and punctuality, Comparability, The statistics can not be directly compared to the statistics of Gazelles published by Eurostat, see the paragraph '7.01 International sammenlignelighed' for further explanation. The statistics are based on the real new enterprises from the business demography statistics. There have not been changes in methods since the beginning of the series., Read more about comparability, Accessibility and clarity, The data is published in NYT and is available in the , StatBank, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/high-growth-enterprises

Documentation of statistics