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      Documentation of statistics: Use of firewood and other types of biomass for heating purposes in dwellings and holiday cottages

      Contact info, Short Term Statistics, Business Statistics , Lina Pedersen , +45 51 68 72 80 , LIP@dst.dk , Get documentation of statistics as pdf, Use of firewood and other types of biomass for heating purposes in dwellings and holiday cottages 2025 , Previous versions , Use of firewood and other types of biomass for heating purposes in dwellings and holiday cottages 2023, Documents associated with the documentation , Spørgeskema til Brændeundersøgelsen 2023 (xlsx) (in Danish only), Spørgeskema til Brændeundersøgelsen 2025 (xlsx) (in Danish only), The purpose of the study is to assess the number of wood stoves, etc., and to calculate the consumption of firewood, wood pellets and other biomass for heating in Danish households' homes and holiday homes. The results of the study are used, among other things, for the Danish Energy Agency's annual energy statistics and the Ministry of the Environment's assessment of emissions from wood stoves in Denmark. The study is based on a survey sent to a sample of households in Denmark. The study is conducted every two years, and reports dating back to 2009 can be found on the Danish Energy Agency's website. Statistics Denmark carried out the current study in collaboration with the Danish Energy Agency., Statistical presentation, The statistics calculate the number of homes and holiday homes that are entirely or partially heated by wood stoves, etc., and the proportion these homes represent of the total housing stock. Additionally, the total consumption of firewood, etc., corresponding to the year 2023 is calculated. The results are presented as totals and broken down by geography, primary heat sources, wood stove types, and housing types., Read more about statistical presentation, Statistical processing, The firewood survey is a sample-based survey. The interviews were collected via a web-based questionnaire, with approximately 17,000 responses most recently collected. The selected respondents are scaled to a national level using background information from population and housing statistics registers. The results are adjusted for non-responses, and data is error-checked at both micro and macro levels. During data processing, a limited number of responses are corrected due to inconsistencies or obviously incorrect answers. Household use of firewood, wood briquettes, and wood pellets is converted from physical quantities to total energy consumption based on standard values for energy content., Read more about statistical processing, Relevance, The survey was developed with support from a working group with representatives from the Danish Energy Agency and the Danish Environmental Protection Agency, who use the results for calculating energy consumption and particle emissions from wood-burning stoves. Additionally, the statistics are of interest to others concerned with energy and the environment. As the survey is new under Statistics Denmark, there is no experience yet with user satisfaction., Read more about relevance, Accuracy and reliability, There will always be errors associated with sample-based and questionnaire-based statistics. The survey framework was reviewed and quality assured before distribution, but it is rare to avoid identifying sources of error afterward. The results of the statistics are compared with previous, relevant studies on wood consumption, etc., and deviations are to be expected due to normal sampling uncertainty, minor differences in data processing, and real changes in the prevalence and consumption patterns regarding heating in private homes and holiday homes., Read more about accuracy and reliability, Timeliness and punctuality, The survey is conducted every two years, and the publication time is two months from late May to late August. It is not possible to assess punctuality as the statistics are new under Statistics Denmark., Read more about timeliness and punctuality, Comparability, The statistics replace previous versions of the Wood Survey, which, at the initiative of the Danish Energy Agency, has generally been conducted every two years, most recently in 2021., Read more about comparability, Accessibility and clarity, The plan is for the statistics to be published every other year in the StatBank under the topic , Energy Consumption, with the title , Firewood and Other Biomass for Heating, and in News from Statistics Denmark on Energy Consumption. More detailed results can also be retrieved on the statistics’ , theme page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/use-of-firewood-and-other-types-of-biomass-for-heating-purposes-in-dwellings-and-holiday-cottages

      Documentation of statistics

      Documentation of statistics: Hospitalization

      Contact info, Personal Finances and Welfare, Social Statistics , Jonas Kirchheiner-Rasmussen , +45 61 50 23 80 , RAS@dst.dk , Get documentation of statistics as pdf, Hospitalization 2025 , Previous versions , Hospitalization 2024, Hospitalization 2023, Hospitalization 2022, Hospitalization 2021, Hospitalization 2019, Hospitalization 2018, Hospitalisation 2017, Hospitalization 2016, Hospitalization 2015, Hospitalization 2014, Hospitalization 2013, The purpose of the Hospital Utilisation Statistics is to shed light on the connection between hospitals stays and social and demographic conditions. The statistics have been compiled since 1990, but are comparable in their current form only from 2017 onwards., Statistical presentation, The statistics are an annual inventory of stays at public and private somatic and psychiatric hospital wards within one calendar year. The statistics show how hospital stays vary with demographic and social factors, such as residence, sex, age, educational level, labour market affiliation and relatives. The statistics are published in News from Statistics Denmark and in the StatBank., Read more about statistical presentation, Statistical processing, The statistics are based on data retrieved from the National Patient Registry, which is shared with Statistics Denmark by the Danish Health Data Authority. Background data from Statistics Denmark are linked to the registry, and summaries and counts are produced — for example, the number of hospital stays and patients in public and private somatic and psychiatric hospital departments during the calendar year., Read more about statistical processing, Relevance, Public and private stakeholders, as well as the general population, can use the statistics to extract data on the population’s hospital utilisation for various analyses, research, public debate, etc. The statistics make it possible to produce figures for specific diagnosis groups and to link information on hospital utilisation with sociodemographic factors such as place of residence, education, labour market attachment, and origin. This is made possible by linking data from the National Patient Register with population register data from Statistics Denmark., Read more about relevance, Accuracy and reliability, The National Patient Register is validated by the Danish Health Data Agency and the accuracy of the register data must be considered to be high because the registration has a long tradition and a high priority for administrative purposes. Accordingly, the overall accuracy of the Hospital Utilisation Statistics is high. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published within approximately seven months after the end of the reference period., Read more about timeliness and punctuality, Comparability, The statistics have been developed since 1990, but are only comparable in their current form from 2017 onwards., Eurostat and the OECD make comparable statistics in this field. There are a number of organizational and institutional conditions that we must keep in mind when comparing countries. , Read more about comparability, Accessibility and clarity, The statistics are released in the newsletter Nyt from Statistics Denmark (in Danish only) and the Statbank, Statbank tables on , hospitalisation utilisation, . For further information, go to the , subject page, ., Read more about accessibility and clarity

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

      Documentation of statistics

      Documentation of statistics: Environmental Protection Expenditures

      Contact info, Short Term Statistics, Business Statistics , Lina Pedersen , +45 51 68 72 80 , LIP@dst.dk , Get documentation of statistics as pdf, Environmental Protection Expenditures 2024 , Previous versions , Environmental Protection Expenditures 2023, Environmental Protection Expenditures 2022, Environmental Protection Expenditures 2021, Environmental Protection Expenditures 2020, Environmental Protection Expenditures 2019, Environmental Protection Expenditures 2018, Environmental Protection Expenditures 2017, Environmental Protection Expenditures 2016, Environmental Protection Expenditures 2015, Environmental Protection Expenditures 2014, Environmental Protection Expenditures 2012, In general the statistics illustrate the total direct environmental protection expenditures in the covered types of industry. Distinction is made between current expenditures and investments. Current expenditures includes as well internal costs in the enterprises as purchase of services on environmental protection. Results can be further displayed on spending according to environmental purposes: Protection of ambient air and climate, Wastewater management, Waste management, Heat/energy saving and management and Other environmental protection activities. , Statistical presentation, The statistics describes annually the expenditures on direct environmental protection by types of industry within mining, manufacturing and utilities. Expenditure are reported at environmental purposes either as internal operating expenses or purchase of services related to environmental protection. On the investment side investments are split in either prevention or treatment., Read more about statistical presentation, Statistical processing, Data are collected among enterprises every second year. All enterprises with more than 50 employees are included plus few smaller ones where needed. From 2024 it is ensured that all large energy producers are part of the sample, regardless of main type of activity., The results from data collection are grossed up to totals for each type of industry after data are imputed for the smaller enterprises. These results are supplemented by expenditures in water supply and data from R&D statistics on environmental R&D., In years without data collection, the results are calculated using last years data, changes in turnover according to the account statistics, and the statistics on Investments in manufacturing industries , Read more about statistical processing, Relevance, The results is expected to meet the needs for the users. However, only direct costs are included in the statistics. Results from 2014 and onwards are included in the Green National Accounts., Read more about relevance, Accuracy and reliability, Overall, the results are expected to be reliable. Figures for errors are not yet compiled. The main challenge on quality is the imputation for smaller enterprises, where costs/employee rations are used. This method has been assessed in 2015 and found valid., In years without data collection the results are less secure. Analyses show close relation between turnover and environmental costs on the short run. For investments the results of the estimation is less good due to few observations behind the results., Read more about accuracy and reliability, Timeliness and punctuality, Results are published according to the schedule., Read more about timeliness and punctuality, Comparability, The comparability is expected to be good from 2014 and onwards. For the utility sector the results before 2024 is assessed as underestimated., Read more about comparability, Accessibility and clarity, The statistics are disseminated in the statbank. , Env. expenditures in manufacturing, ., Further, the results is part of a module in the Danish Environmental-economic accounts, Environmental-economic accounts, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/environmental-protection-expenditures

      Documentation of statistics

      Documentation of statistics: Nights Spent at Marinas

      Contact info, Short Term Statistics, Business Statistics , Karen Keller , +45 21 19 85 61 , KKE@dst.dk , Get documentation of statistics as pdf, Nights Spent at Marinas 2026 , Previous versions , Nights Spent at Marinas 2025, Nights Spent at Marinas 2024, Nights Spent at Marinas 2023, Nights Spent at Marinas 2022, Nights Spent at Marinas 2021, Nights Spent at Marinas 2020, Nights Spent at Marinas 2019, Nights Spent at Marinas 2018, Nights Spent at Marinas 2017, The purpose of the survey Overnight stays in marinas is to supply information on the tourism activity in the Danish marinas. Users of the statistics is e.g. business and tourism organisations as well as municipalities and regions to analyse the development in tourism. Furthermore the statistics is used to identify the most popular marina areas in Denmark. The survey is collected on a voluntary basis and is made in collaboration with VisitDenmark. The survey has been compiled since 1992. The survey went from mandatory to voluntary in 2004 which has had an impact on the response rate and thus also the comparability over time., Statistical presentation, The statistics regarding marinas is a monthly seasonally survey about boats and guest nights spent by visiting yachts in marinas in the months of May-September. The statistics are divided into nationalities of the guests, as well as geographically by regions, parts of the country and waters. In addition, there is an annual assessment of the capacity of marinas divided into parts of the country and the size of the marina. Numbers of Municipal distribution is published at the homepage of VisitDenmark., Read more about statistical presentation, Statistical processing, Data for the statistics is collected monthly for for the reference months May to September. The monthly statistics shows temporary data for the activity in the marinas. If a marina has not reported data from the same month the year before is imputed. At the end of the reference year the imputed data is replaced by reported final data for the year. The numbers of nights spent at marinas are calculated by using a average factor for the size of the crew. The average factor is based by a survey made by VisitDenmark in 2017. Data for the statistics is collected via an upload solution or by a electronis questionaire. The collected data undergoes micro-level debugging during the actual collection and at the macro-level when the data is aggregated., Read more about statistical processing, Relevance, The statistics are relevant for e.g. the companies, industry associations, municipalities and regions as well as business and tourism organizations as a basis for forecasts, analyses and planning purposes., Read more about relevance, Accuracy and reliability, The marina statistics was made voluntary from 2004 which may influence the comparability over time as well as the coverage. Some reports are based on a best estimate by the respondent and therefore in risk of being wrong. , Read more about accuracy and reliability, Timeliness and punctuality, The survey is published on a monthly basis for the reference months May-September approx. 40 days after the end of the reference month. Furthermore, an annual publication is made that is published approx. 75 days after the end of the reference year. The survey is published according to the scheduled time table and therefore has a high degree of punctuality., Read more about timeliness and punctuality, Comparability, From 2004 the statistics are voluntary which minimize the comparability over time. From 2007-20016 a new factor regarding the size of the crew has been phased in. From 2017 an onwards this factor is fully phased in. , Read more about comparability, Accessibility and clarity, The statistics are published in , Nyt from Statistics Denmark, . In the statbank the figures are published under the subject , Marinas, and , All types of accommodation, . See more on the statistics , topic page, . Municipality-distributed statistics on holiday rental are financed by VisitDenmark and are freely available on their , website, . , If you want to combine statistics on marinas with other variables or put them together in another way, you can contact DST Consulting to clarify options and request a quote., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/nights-spent-at-marinas

      Documentation of statistics

      Documentation of statistics: Producer and Import Price Index for Commodities

      Contact info, Prices and Consumption, Economic Statistics , Nicklas Milton Elversøe , +45 61 15 35 98 , NEL@dst.dk , Get documentation of statistics as pdf, Producer and Import Price Index for Commodities 2026 , Previous versions , Producer and Import Price Index for Commodities 2025, Producer and Import Price Index for Commodities 2024, Producer and Import Price Index for Commodities 2023, Producer and Import Price Index for Commodities 2022, Producer and Import Price Index for Commodities 2021, Producer and Import Price Index for Commodities 2020, Producer and Import Price Index for Commodities 2019, Producer and Import Price Index for Commodities 2018, Producer and Import Price Index for Commodities 2017, Producer and Import Price Index for Commodities 2016, Producer and Import Price Index for Commodities 2015, Producer and Import Price Index for Commodities 2014, The statistics Producer and Import Price Index for Commodities show the price development of commodities in the first stage of transaction. The primary use is as deflators (converting nominal values to real values), but is also used as a business cycle indicator and for contract adjustments in the business sector. The index can be divided into Producer price index for commodities, Import price index for commodities and Price index for domestic commodities supply. The Price index for domestic supply of commodities can be traced back to 1876 and in the current form back to 1981. Producer Price Index for Commodities dates back to 2000 and Import Price Index for Commodities to 2005., Statistical presentation, The Producer and Import Price Index for Commodities contains monthly indices of the price development of commodities in the first stage of turnover (business-to-business), i.e. typically sales from producer to wholesaler or retailer, for commodities produced by Denmark for the domestic market and export, or for commodities imported into Denmark. The statistics are divided by product and industry groups., Read more about statistical presentation, Statistical processing, Approximately 7,400 prices from selected producers and importers in Denmark. Of these, approximately 3,800price reports for calculation of Producer Price Index for Commodities, approximately 3,600 for calculation of Import Price Index for Commodities and approximately 5900 price reports are used to calculate the Price Index for Domestic Supply. The prices are validated automatically in connection with the collection. Unusually large price developments are subsequently checked manually. The validated price developments are then aggregated in a hierarchical system, where they are given weight according to their significance to the overall price index., Read more about statistical processing, Relevance, The Producer and Import price index for commodities serves as economic key figures, cyclical indicator, deflator and a contract regulations tool. The primary users of the statistics are the Danish National Accounts, business and stakeholders in the Danish economy. The statistics meet all the requirements of the EU in terms of industry coverage, aggregation level, frequency and publication date, etc., Read more about relevance, Accuracy and reliability, The prices covered by the data collection have a direct coverage of approximately 70 percent of total revenue in the Danish economy. Weights are based on the National Accounts product balances, which covers the main part of trading in the first stage of sales within the delimitation of the statistics. Sample units are selected on a purposive basis using a top-down approach. As a random sampling method is not being utilised a subsequent assessment of sampling error is not enabled. , Published statistics are considered final. , Producer and import price index for commodities are not considered to have an increased uncertainty due to COVID-19. Data collection has been largely not impacted as a result of the crisis and subsequent non-response levels have remained at their historically low levels., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published on a monthly basis. The statistics for a given month are published on the 15th of the following month or the first business day thereafter. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, Statistics Denmark has calculated variations of this statistic since 1876. The Producer and import price index for commodities can be found as an unbroken monthly time series from 2005 to today. The statistics have been prepared according to international standards and can therefore be compared to similar statistics from other European countries., Read more about comparability, Accessibility and clarity, The statistics are published monthly by Statistics Denmark via press release ", Nyt fra Danmarks Statistik, " (in Danish only) and specifically regard Producer and Import Price Index for Commodities., In the StatBank, the statistics are published under the topic , Producer and import price index for commodities, . , For more information visit the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/producer-and-import-price-index-for-commodities

      Documentation of statistics

      Documentation of statistics: Pigs

      Contact info, Food Industries, Business Statistics , Mona Larsen , +45 24 81 68 47 , MLA@dst.dk , Get documentation of statistics as pdf, Pigs 2026 , Previous versions , Pigs 2025, Pigs 2024, Pigs 2023, Pigs 2022, Pigs 2021, Pigs 2020, Pigs 2019, Pigs 2018, Pigs 2017, Pigs 2016, Pigs 2015, Pigs 2014, The statistics on the stock of pigs shows the total number of pigs in Denmark. It aims, among other tings, to form a basis for forecasting future slaughters and future stock of sows. The statistics are also used for different economic and environmental estimations and analyses. The stocks of pigs have been compiled since 1915 but with slightly different methods used over time. The last change was in 01 April 2018. The difference in the number of pigs for new and the old method of analysis is below 1 per cent. The statistics are considered to be comparable from 1998 onwards. , Statistical presentation, The pig survey are a sample survey published every quarter as the numbers of pigs in Denmark. The statistics are published in the newsletter Nyt fra Danmarks Statistik (in Danish only) and in the Statbank. The data series with the total stock of pigs (pigs, total) are only published without seasonal adjustment from 2020. , Read more about statistical presentation, Statistical processing, Data for the pig survey is collected by means of web questionnaires or by means of the system to system solution AgroVision or Danish Crown Data. A sample little below 1.200 holdings with pigs according to the The Central Husbandry Register (CHR) is selected. The survey is a sample survey divided into groups (strata) by the size of pigs and types of pigs on the single holding. Farms with many pigs are selected every time. The answers are validated for unrealistic values and next the sample is extrapolated to the total population of all farms with pigs. , Read more about statistical processing, Relevance, The pigs survey is of great interest to EU, the Ministry of Environment and Food, The Danish Association of Slaughterhouses and others farmer´s organizations, but also students and interested people in general. The most important purposes of pig surveys are to provide a basis base for forecasts of pigs for slaughter. The statistics are used in financially and environment studies. , Read more about relevance, Accuracy and reliability, The greatest factor of inaccuracy is updating and matching of the different registers. The relative standard deviation - sampling errors - for pigs is 0.5 per cent to 1.5 per cent. A maximum of 5 per cent has to be observed to meet EU's requirements. As part of a quality assessment statistical errors are calculated for all variables., Read more about accuracy and reliability, Timeliness and punctuality, The figures are usually published without delay in relation to the scheduled data, however with some exceptions in 2012 and 2013., Read more about timeliness and punctuality, Comparability, The pig surveys have been conducted in their present form since April 1974, but the number of pigs have been conducted at varying points in time and frequency since 1915. , Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release and quarterly in the Statbank under the subject [Farms with livestock]http://www.Statbank.dk/20472). For further information, see the , subject page, . Data with long timeseries can be find on , Livestock (historic) by type of livestock, ., Read more about accessibility and clarity

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

      Documentation of statistics

      Documentation of statistics: Protected buildings and ancient monuments

      Contact info, Science, Technology and Culture, Business Statistics , Christian Max Gustaf Törnfelt , +45 21 63 60 20 , CHT@dst.dk , Get documentation of statistics as pdf, Protected buildings and ancient monuments 2024 , Previous versions , Protected buildings and ancient monuments 2022, Protected buildings and ancient monuments 2021, Protected Buildings and Ancient Monuments 2020, Protected Buildings and Ancient Monuments 2019, Protected Buildings and Ancient Monuments 2018, Protected Buildings and Ancient Monuments 2017, Protected Buildings and Ancient Monuments 2016, Protected Buildings and Ancient Monuments 2015, Protected Buildings and Ancient Monuments 2014, The purpose of the statistics is to provide a comprehensive overview of the Danish protected buildings and ancient monuments, including new protections and de-protections. Data for protected buildings are from 2012 and data for protected ancient monuments are from 2010. Buildings in Denmark have been protected since 1918. , Statistical presentation, The statistics show the number of protected buildings and ancient monuments, including distribution of protected buildings by provinces of the country and construction year in 50 year ranges. The statistics also show the number of new protections and de-protections., Read more about statistical presentation, Statistical processing, The role of Statistics Denmark with respect to this statistics is solely to assure the quality and communicate information that is selected, collected, processed and disseminated by other producers of statistics/data suppliers. Please refer to the original sources for a detailed review of the statistical processing., Read more about statistical processing, Relevance, The users include municipalities, organizations and students. There is not carried out a user satisfaction survey to the statistics., Read more about relevance, Accuracy and reliability, The registration in the register of both listed buildings and ancient monuments is done manually and with a certain delay in relation to the decision of conservation., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published annually in mid-February and are usually published in relation to the scheduled time., Read more about timeliness and punctuality, Comparability, There are no reservations regarding comparability over time., Read more about comparability, Accessibility and clarity, The statistics are published in the (StatBank Denmark) (http://www.Statbank.dk)., Tables: KFRED1: Protected buildings by region, type of building and year of construction. KFRED2: Protected ancient monuments by region and farm category. KFRED3: New protections and de-protections by unit and region., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/protected-buildings-and-ancient-monuments

      Documentation of statistics

      Documentation of statistics: Sale of Organic Foods in Retail Shops

      Contact info, Food Industries, Business Statistics , Martin Lundø , +45 51 46 15 12 , MLU@dst.dk , Get documentation of statistics as pdf, Sale of Organic Foods in Retail Shops 2024 , Previous versions , Sale of Organic Foods in Retail Shops 2023, Sale of Organic Foods in Retail Shops 2022, Sale of Organic Foods in Retail Shops 2021, Sale of Organic Foods in Retail Shops 2020, Sale of Organic Foods in Retail Shops 2019, Sale of Organic Foods in Retail Shops 2018, Sale of Organic Foods in Retail Shops 2017, Sale of Organic Foods in Retail Shops 2016, Sale of Organic Foods in Retail Shops 2015, Sale of Organic Foods in Retail Shops 2014, Sale of Organic Foods in Retail Shops 2013, These statistics cover the size and composition of the turnover of organic food in supermarkets and department stores. The study was conducted for the first time for the year 2003. From 2017 companies who exclusively sell online, including subscriptions, have been included in the survey., Statistical presentation, 'Sale of organic foods in retail shops' is an annual statement of the sale of organic food and beverages in the retail trade, calculated by quantity and value. The statistics are divided into product groups. Data basis for the survey is reports from the major supermarket chains and wholesalers, who sell food to retailers., Read more about statistical presentation, Statistical processing, Survey population: the major supermarket chains and wholesalers, who sell food to retailers. Questionnaires are quality controlled (correlation between value and quantity, developments from previous years) and respondents are recontacted if necessary. Retail sales that originate from wholesalers are calculated on the basis of their volume sales and kilo prices from retailers, so that the reported information is comparable with the other reported information from supermarkets and department stores., Read more about statistical processing, Relevance, The statistics is used by interest groups, authorities etc. to assess the level and composition of organic consumption., Read more about relevance, Accuracy and reliability, Census, no sampling error., There is some uncertainty in the calculation of data from the wholesalers. After a detailed analysis of the questionnaires received, Statistics Denmark asses that the information overall gives a true picture of retail sales of organic food and drinks in supermarkets and department stores, however, sales of dairy products can be underestimated., The reported figures are estimated to be of good quality., Read more about accuracy and reliability, Timeliness and punctuality, Dissemination 4-5 months after the survey year. The statistics is usually published as scheduled., Read more about timeliness and punctuality, Comparability, There is no public comparable statistics. However, some comparison can be made to statistics on the the overall retail, for example, e.g. Retail Index., In Sweden and Norway one can find partially comparable statistics. The Danish statistics are comparable from 2003 to now., Read more about comparability, Accessibility and clarity, The statistics are published in yearly in a Danish press release, at the same time as the table is updated in the StatBank. In the Statbank, these statistics can be found under the subject , Trade in organic food, . For further information, go to the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sale-of-organic-foods-in-retail-shops

      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

      Documentation of statistics: Profit and Loss Accounts of Danmarks Nationalbank

      Contact info, Government Finances , Jesper Søgaard Dreesen , +45 51 64 92 61 , JSD@dst.dk , Get documentation of statistics as pdf, Profit and Loss Accounts of Danmarks Nationalbank 2022 , Previous versions , Profit and Loss Accounts of Danmarks Nationalbank 2021, Profit and Loss Accounts of Danmarks Nationalbank 2020, Profit and Loss Accounts of Danmarks Nationalbank 2019, Profit and Loss Accounts of Danmarks Nationalbank 2018, Profit and Loss Accounts of Danmarks Nationalbank 2017, Profit and Loss Accounts of Danmarks Nationalbank 2016, The purpose of these statistics is to show an annual independent statement of the revenue and expenditure of Danmarks Nationalbank. These statistics are comparable since 2002., Statistical presentation, The statistics are an annual statement of Danmarks Nationalbank's income statement broken down into profit and loss accounts in DKK million., Read more about statistical presentation, Statistical processing, Compared to the source data the wording of certain items can be changed or aggregated., Read more about statistical processing, Relevance, The primary users are public authorities, private business sector and interested citizens., Read more about relevance, Accuracy and reliability, The overall accuracy is considered very high. All data comes from the annual report of Danmarks Nationalbank, which has been subject to independent auditing. For further information please refer to Danmarks Nationalbank., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published about three months after the reference year. These statistics are published without delay, with reference to the announced time of publication in the release calendar., Read more about timeliness and punctuality, Comparability, There is high comparability over time., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Danmarks Nationalbank, and in the , Statistical Yearbook, . For more information go to the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/profit-and-loss-accounts-of-danmarks-nationalbank

      Documentation of statistics
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