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Documentation of statistics: Drug Abuse Treatment

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, Drug Abuse Treatment 2025 , Previous versions, Drug Abuse Treatment 2024, Drug Abuse Treatment 2023, Drug Abuse Treatment 2022, Drug Abuse Treatment 2021, Drug Abuse Treatment 2020, Drug Abuse Treatment 2019, Drug Abuse Treatment 2018, Drug Abuse Treatment 2017, Drug Abuse Treatment 2016, Documents associated with the documentation, Imputering 2018-2020 (pdf) (in Danish only), The purpose of the statistics is to shed light on drug abuse treatment in Denmark provided by municipalities to citizens under Section 101 of the Social Services Act, Section 142 of the Health Act, and Section 33 of the Child Act. The statistics are used, among other things, to account for the number of citizens in drug abuse treatment, the number and types of drug abuse treatments, and to monitor adherence to the 14-day treatment guarantee from request to initiation of treatment. , These statistics have been compiled since 2015, and data quality has been continuously improved. With the release of the 2025 figures, national totals for the period 2018–2025 will be published for the first time., Statistical presentation, These statistics are a annual measurement of the municipalities' drug abuse treatments activities initiated by the municipalities calculated in terms of number of activities (request, initiation, ended treatment courses), courses and persons. These statistics are grouped by regions, municipalities, sex and age groups., Read more about statistical presentation, Statistical processing, Data for these statistics are continuously collected municipalities directly to SMDB or automatically through system-to-system solutions via the municipality's administrative IT-system., Data are validated extensively by asking the responsible municipality to check their reported data online for validation and approval. Hereafter, we initiate validation processes that e.g. remove persons with invalid social security numbers or who have ended their treatment because they died., Read more about statistical processing, Relevance, The statistics are relevant to anyone with an interest in the field of drug abuse, including researchers, municipalities, drug abuse treatment providers, regions, ministries, as well as interest organizations. The statistics provide concrete knowledge about publicly referred and paid drug abuse treatment in Denmark and contribute more generally to an understanding of the drug abuse field. The data foundation is used for research purposes and internationally within the EU framework, but also in policy contexts by, for example, the Ministry of Social Affairs and the Ministry of Health and Interior to formulate new policies in the field of drug abuse., Read more about relevance, Accuracy and reliability, The overall accuracy and reliability of the statistics are being continuously improved. Unlike previous years, full coverage has been achieved for the reference years 2021–2025, meaning that all 98 municipalities have approved their data. In connection with the release of the 2025 data, values for two municipalities for the years 2018, 2019, and 2020 have been imputed. As a result, national totals are published for the first time for all years from 2018 to 2025., In general, some uncertainty remains due to variations in municipal reporting practices and incomplete registrations., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published without any delays relative to the scheduled release dates., Read more about timeliness and punctuality, Comparability, The statistics cover the period 2015–2025 and are comparable throughout the entire period for municipalities that have approved their reports for the census year., Comparability over time is affected by differences in municipal registration practices, interpretation of questions, and changes in reporting requirements. At the same time, data quality has improved over time through enhanced validation and dialogue with the municipalities., International comparisons are handled by the Danish Health Data Authority and the Danish Health Authority., When comparing over time, it should be noted that there are differences in registration practices among municipalities, and certain questions may be interpreted differently depending on the case worker completing the forms. Furthermore, changes in reporting requirements over time and the transfer of substance abuse treatment to different authorities may affect comparability. As of January 1, 2024, the Enrollment, Services, and Discharge forms became voluntary to report, and as of January 1, 2025, they will no longer be possible to report. Therefore, the register SMDB_IBIB has been closed., In addition, when comparing data over time, it should be taken into account that data quality is generally considered to have improved over time as a result of a more intensive, continuous, and targeted validation process, as well as the introduction of the SMDB web reporting system., 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 , Drug abuse treatment, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/drug-abuse-treatment

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: 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: Land Accounts

Contact info, National Accounts, Climate and Environment, Economic Statistics , Michael Berg Rasmussen , +45 51 46 23 15 , MBR@dst.dk , Get documentation of statistics as pdf, Land Accounts 2024 , Previous versions, Land Accounts 2021, Land Accounts 2018, Land Accounts 2016, These statistics concern the size of the land area of Denmark, how it is covered and how it is used. Land cover estimates how Denmark is covered by roads, buildings, crops, forests, lakes etc. Land use estimates for what purpose the land area of Denmark is used, e.g. for housing, industry, trade, recreation etc. Land accounts are part of the the Environmental-Economic Accounts (Green National Accounts)., Statistical presentation, Land accounts has three parts. Denmark's area in square kilometers in total and by municipalities and regions, land by land cover and land use by industry. Land by land cover and land use by industry are stated in square kilometers, square meter per capita and in percentage of the total land area, geographically divided by provinces and regions., Read more about statistical presentation, Statistical processing, The land cover accounts have been produced from consolidating a number of source maps, all of which shows aspects of Danish land cover. All the maps have been overlaid using GIS techniques and aggregated into one map. The main part of the GIS-related work has been carried out by DCE, Aarhus University. , The land use accounts have been produced by combining the Cadastral map with the registers on buildings, dwellings, businesses, municipal plans etc. The classifications from the registers have been combined and prioritized to create the classification of land by land use., Read more about statistical processing, Relevance, The land accounts are relevant for users interested in how Danish land is used, and how this changes over time - including analyses of how different land covers and land uses may compete as demand for more urban land or more protected nature will have to mean less of other uses., Read more about relevance, Accuracy and reliability, The statistics are well documented and transparent, building on all relevant map sources for the land cover of Denmark. Quality of the land use accounts is considered to be good, but the uncertainties are bigger than for the land cover. This is because the method is new and these accounts are the first published of their kind. As for many other statistics, the higher level of detail, the higher the uncertainties. , Read more about accuracy and reliability, Timeliness and punctuality, Statistics on the size of Denmark's land area is published by the end of February, in the year following the reference year. On the other hand, land by land cover and land use by industry do not have a fixed publishing rhythm, but have so far been published at years intervals. 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, The land cover accounts is fully compatible between 2011, 2018, 2021 and 2024. Compatibility with older statistics on land cover is limited, as there have been major changes to sources as well as methods. Land use has so far only been measured for one reference year., Read more about comparability, Accessibility and clarity, Statistics on the size of Denmark, land by land cover and land use by industry are published in the StatBank under , Land use accounts, and , Natural resource accounts, . Furthermore, Land accounts is part of the Environmental-Economic Accounts (Green National Accounts)., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Research and development in the public sector

Contact info, Science, Technology and Culture, Business Statistics , Mille Wilhjelm Poulsen , +45 40 18 78 40 , MWP@dst.dk , Get documentation of statistics as pdf, Research and development in the public sector 2024 , Previous versions, Research and development in the public sector 2023, Research and development in the public sector 2022, Research and development in the public sector 2021, Research and development in the public sector 2020, Research and development in the public sector 2019, Research and development in the public sector 2018, Research and development in the public sector 2017, Research and development in the public sector 2016, Research and development in the public sector 2015, Statistics on Research and Development – Public sector 2014, Statistics on Research and Development – Public Sector 2013, Statistics on Research and Development – Public sector 2012, The purpose of the statistics on Research and Development in the public sector is to illustrate the extent of R&D activities carried out within the public sector. The statistics are used, among other things, to assess the share of GDP devoted to research and development. The survey is conducted according to the OECD guidelines for research and development (R&D) statistics, as set out in the Frascati Manual. The statistics have been produced since 1997, but are comparable in their current form from 2007 onwards., Statistical presentation, The statistics provide an annual account of R&D in the public sector, showing both expenditure (in millions of kroner) and personnel (in numbers and full-time equivalents). The data are distributed by main sectors, types of expenditure, scientific fields, and type of research., Read more about statistical presentation, Statistical processing, The statistics are based on questionnaires and are collected annually from approximately 650 public and private non-profit units, which together are assumed to carry out all significant R&D in the public sector. The reported data undergo extensive validation, focusing on a number of high-priority variables, particularly R&D expenditure and R&D full-time equivalents. Validation is performed at both the macro and micro level., Read more about statistical processing, Relevance, There is a general political objective of increasing the share of GDP, which is applied for research and development, and in the light of this objective, there is great interest in compiling statistics on research and development. The main users are Ministries, public authorities, business organisations, researchers, private business enterprises and the media. In addition, the European Commission (The statistical office Eurostat) and the OECD are important users. Data are available for purposes of research., Read more about relevance, Accuracy and reliability, They are based on a complete census, of the expected research-active institutions, of approximately 650 public institutions, with a response rate close to 100 percent. The large dataset undergoes extensive validation, and except for a single question, the extent of imputation for missing values is relatively limited. Imputation may, for example, involve inserting calculated values from other institutions’ reports in place of missing information., Read more about accuracy and reliability, Timeliness and punctuality, National release is done 1 year after the end of the reference period. It is the aim to publish preliminary figures 1 year after the end of the reference period. Final figures are published 1 year after the preliminary figures. Transmission of data to Eurostat follows rules laid down in the relevant legal act. , Read more about timeliness and punctuality, Comparability, Comparable figures are available for 1997–2006, when the statistics were compiled by the Centre for Research Analysis, and from 2007 onwards. In the 2007 statistics, some changes were made to the accounting principles compared with earlier compilations, and between 2006 and 2007 a number of structural changes affected a large number of research institutions. This means that the data in the new survey are only partially comparable with previous surveys., 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 , Research and development, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/research-and-development-in-the-public-sector

Documentation of statistics

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

Land cover, v3:2018

Name: , BASEMAP_V3_2018 , Description: , Land cover is the observed physical and biological cover of the Earth’s surface which include natural vegetation and abiotic (non-living) surfaces. Land cover is classified based on the UN [System of Environmental Economic Accounting](https://seea.un.org/content/land-accounts) (SEEA), adapted to Danish conditions. This classification has three levels, where [BASEMAP03](http://colectica:25233/File/51ea95a6-293a-4a1f-8d15-5a805f2576cd) constitutes the third level., Valid from: , January 1, 2018 , Valid to: , December 31, 2018 , Office: , Nationalregnskab, Klima og Miljø , Contact: , Ingeborg Vind, , inv@dst.dk, , ph. +45 24 83 51 49 , Codes and categories, Open hierarchy, Download , CSV, DDI, A: Roads, railroads and runways, A1: Road, paved, 141000: Road, paved, A2: Railroads, 150000: Railway, A3: Runways, 126000: Airport/runway, A15: Road, not paved, 142000: Road, not paved, B: Buildings and built-up areas, B1: Buildings, 110000: Building, 121110: Low built up. Building, 122110: High built up. Building, 123110: City centre. Building, 124110: Other built up. Building, 125110: Industry/business. Building, 126110: Airport/runway. Building, 130110: Recreation area/sports ground. Building, 150110: Railway. Building, B2: Built-up areas, 121000: Low built up, 122000: High built up, 123000: City centre, 124000: Other built up, 125000: Industry/business, C: Other artificial surfaces, C1: Pits and quarries, 160000: Resource extraction, C2: Parks, sport facilities and recreational areas, 130000: Recreation area/sports ground, D: Agricultural crops, D1: Herbaceous crops, 211000: Agriculture, intensive, temporary crops, D2: Woody crops, 212000: Agriculture, intensive, permanent crops, D3: Permanent grass and other extensive crops, 220000: Agriculture, extensive, D4: Crops, unspecified, 230000: Agriculture, not classified, E: Forest, E1: Forest, 311000: Forest, 312000: Forest, wet, F: Nature (dry and wet habitat types), F1: Nature, dry (heathers, dunes, etc.), 321000: Nature, dry, 321220: Nature, dry. Agriculture, extensive, F2: Nature, wet (meadows, bogs, etc.), 322000: Nature, wet, 322220: Nature, wet. Agriculture, extensive, G: Lakes and streams, G1: Lakes, 411000: Lake, G2: Streams, 412000: Stream, H: Unmapped, H: Unmapped, 800000: Unmapped, All versions, Name, Valid from, Valid to, Land cover, v3:2018, January 1, 2018, Still valid

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/basemap

Documentation of statistics: Balance of Payments

Contact info, External Economy, Economic Statistics , Maria José Alvarez Pelaez , +45 30 66 03 21 , MJP@dst.dk , Get documentation of statistics as pdf, Balance of Payments 2025 , Previous versions, Balance of Payments 2024, Balance of Payments 2023, Balance of Payments 2022, Balance of Payments 2021, Balance of Payments 2020, Balance of Payments 2019, Balance of Payments 2018, Balance of Payments 2017, Balance of Payments 2016, Balance of Payments 2015, Balance of Payments 2014, Documents associated with the documentation, Omlægning af tabeller om betalingsbalance og udenrigshandel i Statistikbanken juni 2024 (pdf) (in Danish only), The balance of payments describes the economic transactions between Denmark and the rest of the world. The main components are the import and export of goods and services, the surplus (or deficit) of the current account and the net worth (or net debt) respect to the rest of the world. The balance of payments statistics is compiled in cooperation with Danmarks Nationalbank , Statistical presentation, The balance of payments records the value of the economic transactions on a monthly basis between the Danish balance of payments area and the rest of the world. There are three main accounts: the current account (trade in goods and services, primary and secondary income), the capital account (capital transfers and acquisition/disposal of non-produced, nonfinancial assets between residents and non-residents) and the financial account (transactions that involve financial assets and liabilities between residents and non-residents). The statistics show the geographical distribution (counterpart countries). Danmarks Nationalbank compiles the financial account and the investment income of the Danish balance of payments., Read more about statistical presentation, Statistical processing, The statistics are primarily compiled based on other statistics. The data sources are used directly and as a basis for calculations of developments. Validation of the sources mainly occurs during the preparation of other statistics, but special validations are carried out across selected sources to ensure consistency between the sources. The validation particularly targets businesses' international organisation of production. The data sources are processed so that monthly balance of payments statistics can be produced, even if some sources are compiled quarterly or annually. , Read more about statistical processing, Relevance, The publication of the balance of payments, particularly the monthly dissemination, often attracts significant public interest. Ministries, politicians and centers for economic analysis are the main users of the statistics. The balanced of payments is also used in the compilation of national accounts as it is the rest of the world sector. , Read more about relevance, Accuracy and reliability, The compilation of the balance of payment is mainly based on other statistics. Accordingly, the accuracy of the balance of payments statistics is very much dependent upon these statistics. Coverage is high, as there is a particular focus on coverage in the largest data sources, i.e. the international trade in goods statistics (ITGS) and the international trade in services statistics (ITSS). Ongoing validations are performed. The calculations and model assumptions in the compilation are not considered to affect the overall accuracy of the main items in the balance of payments., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published quarterly, approximately 40 days after the end of the reference period. Main results are published monthly, approximately 40 days after the end of the relevant month. The final statistics are published approximately three years after the end of the reference period. The statistics are published on the announced time. , Read more about timeliness and punctuality, Comparability, The balance of payments has been compiled since 1934, with a continuous time series available since 2005. The compilation of the statistics follows the IMF's manual BPM6. There is thus comparability with other countries following the same manual and back to 2005. For the detailed items, there is no comparability with the series before 2005. The statistics on International Trade in Services are directly included in the compilation of the balance of payments. For International Trade in Goods, there are methodological differences, so there is a discrepancy between the two statistics. The statistics is part of the national accounts and is directly included as the rest of the world sector in the sector account of the national accounts., Read more about comparability, Accessibility and clarity, The latest figures are published in a monthly news article "Nyt from Statistics Denmark," and all figures can be found in the Statistics Bank. The balance of payments also has dedicated , homepage, . , These statistics are published monthly 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 [skriv niveau-3-emne på en-gelsk](https://www.statbank.dk/kode for niveau 3). For further information, go to the subject page , emnesidens navn på en-gelsk, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/balance-of-payments

Documentation of statistics

Documentation of statistics: Rent indices for housing

Contact info, Prices and Consumption, Economic Statistics , Martin Sædholm Nielsen , +45 24 49 72 81 , MNE@dst.dk , Get documentation of statistics as pdf, Rent indices for housing 2021 , Previous versions, The purpose of the statistic Rent indices for housing is to measure the development in rent (housing). The statistic covers the years from 2021. , Statistical presentation, The statistic is a quarterly statistics who show the development in rents before rent subsidies. , Read more about statistical presentation, Statistical processing, The Rent indices for housing are based on a sample of privately owned rented dwellings, social rental housing and cooperative dwellings. The rent development for the social rental housing is based on administrative data from The National Bulding Fund (Landsbyggefonden) and thus covers the entire population of social rental housing. Privately owned rented dwellings is covered by a sample of approx. 110.000 dwellings out of a population of approx. 500.000 privately owned rented dwellings. Cooperative dwellings is covered by a sample of approx. 600 dwellings. Social rental housing and private rental housing each amount to almost half of the total rental housing market whereas cooperative dwellings account for approx. 10 per cent. , Read more about statistical processing, Relevance, The statistic measures the development in rent (housing). , Read more about relevance, Accuracy and reliability, It is not possible to quantify the uncertainty in the rent indices for housing, as the sample behind is not randomly drawn . However, for social housing, the statistics are based on the population of social housing, which is why there is no uncertainty here. For the private rental homes, the sample consists of approx. 110,000 rental homes out of a population of approx. 500,000 rental housing, so here there is limited sample uncertainty. Cooperative dwellings are covered by a sample of approx. 600 dwellings, so here there is sample uncertainty. , Read more about accuracy and reliability, Timeliness and punctuality, The consumer price index including the rents index is published on the 10th or the first working day thereafter, following the month in which the data was collected. The statistics are published without delay in relation to the scheduled date. , Read more about timeliness and punctuality, Comparability, The statistics have been compiled in the same way since 2021. The statistics are not necessarily comparable with other statistics within the same area due to different methods. , Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , rent and rental vacancy, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/rent-indices-for-housing

Documentation of statistics

Documentation of statistics: Accounts Statistics for Agriculture

Contact info, Food Industries, Business Statistics , Henrik Bolding Pedersen , +45 20 57 88 87 , HPE@dst.dk , Get documentation of statistics as pdf, Accounts Statistics for Agriculture 2025 , Previous versions, Accounts Statistics for Agriculture 2024, Accounts Statistics for Agriculture 2023, Accounts Statistics for Agriculture 2022, Accounts Statistics for Agriculture 2021, Accounts Statistics for Agriculture 2020, Accounts Statistics for Agriculture 2019, Accounts Statistics for Agriculture 2018, Accounts Statistics for Agriculture 2017, Accounts Statistics for Agriculture 2016, Accounts Statistics for Agriculture 2015, Accounts Statistics for Agriculture 2014, Accounts Statistics for Agriculture 2013, Accounts Statistics for Agriculture 2012, The purpose of the Farm Account Statistics for Agriculture is to provide information on the accounting results of agricultural holdings and horticultural holdings in Denmark. The statistics are considered an important input for the calculation of the agricultural sector accounts, the national accounts, and the EU Farm Sustainability Data Network (FSDN). The statistics have been compiled since 1916, but in their current form they are comparable from 2008 onwards., Statistical presentation, The Farm Account Statistics for Agriculture is an annual statistic describing the economy of Danish agricultural and horticultural holdings through detailed accounting items such as turnover, purchases, costs, operating result of the year, assets, liabilities and investments,, as well as key financial indicators. In addition, the statistics include information on household finances, including income outside agriculture, taxes paid and private consumption. The statistics cover holdings with a standard output of at least EUR 25,000 and are broken down by full-time and part-time holdings, farm types, conventional and organic production, and geographical areas such as regions and parts of the country., Read more about statistical presentation, Statistical processing, Data for these statistics are collected annually from farm accounts submitted by accounting offices and private accountants and are supplemented with data from various administrative registers. The data are collected electronically and undergo extensive validation procedures. Holdings are classified according to economic size and type of farming based on their Standard Output (SO), which is calculated for all crop and livestock types as the average actual output per unit (hectare or animal) over a five-year reference period. After validation, the sample is weighted to represent the target population and the final statistics are compiled., Read more about statistical processing, Relevance, These statistics are relevant to Ministries, researchers and agricultural organizations to measure the income of agricultural holdings. The data collection fulfils Denmark's obligations under the EU Farm Sustainability Data Network (FSDN)., Read more about relevance, Accuracy and reliability, The sample covers all holdings in the target population with a Standard Output (SO) of at least EUR 25,000. Sampling uncertainty is reduced by selecting relatively more large holdings, where variability is greater, and relatively fewer small holdings. Potential sources of uncertainty include voluntary participation and differences in accounting periods, although both are considered to have only a limited impact on overall accuracy. Standard errors and coefficients of variation are calculated for four key variables across 22 groups of holdings. Expected non-response is taken into account by increasing the sampling rate in strata where higher non-response has been observed, Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 7–10 months after the end of the reference year. Since the 2015 reference year, preliminary results for agriculture have been published in early July., Read more about timeliness and punctuality, Comparability, The statistics are comparable back to 2008, where data have been calculated on the basis of Standard Output., The statistics are partly comparable with data from SEGES (Danish agricultural advisory service), which compiles economic key figures for different types of farming. A coordination of the concepts is conducted., Read more about comparability, Accessibility and clarity, The figures are published in , Nyt from Danmarks Statistik, . The statistics is published in StatBank Denmark under , Agricultural and horticultural economy, . More information is available on the statistics , subject page, ., Read more about accessibility and clarity

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

Documentation of statistics