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Documentation of statistics: Imprisonments

Contact info, Population and Education, Social Statistics , Iben Birgitte Pedersen , +45 23 60 37 11 , IPE@dst.dk , Get documentation of statistics as pdf, Imprisonments 2024 , Previous versions, Imprisonments 2023, Imprisonments 2022, Imprisonments 2021, Imprisonments 2020, Imprisonments 2019, Imprisonments 2018, Imprisonments 2017, Imprisonments 2016, Imprisonments 2015, The purpose of the statistics is to analyze the number of arrests for violation of the penal code and the special laws (among these the Danish Road Traffic Act). The statistics on imprisonments was published for the first time for the year 2015., Statistical presentation, The statistics shed light on the number of arrests for violation of the penal code, the road traffic act and other special legislation. In the published statistics the arrests are classified into type of offence, outcome and education. Demographically the statistics are divided into age and sex., Read more about statistical presentation, Statistical processing, Data on imprisonments, which Statistics Denmark receive from the Central Criminal Register, are linked to data from Statistics Denmark's Population Register and Statistics Denmark's Educational Register. Data are already validated. However, central variables go through a probability check in form of a comparison with data from the previous year., Read more about statistical processing, Relevance, The statistics are used broadly by the authorities, enterprises, organisations, researchers, the press, in the public debate etc. Views and suggestions from key users are taken into consideration in the preparation of the statistics., Read more about relevance, Accuracy and reliability, The data used in the statistics are drawn from the Central Criminal Register. The data are typically drawn about 1 February following the relevant calendar year. A number of imprisonments started/ended during the calendar year have not been registered before the data are drawn. This implies that the total number of imprisonments presumably is under-estimated., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 5 months after the end of the reference year. The statistics are published without delay in relation to the scheduled time., Read more about timeliness and punctuality, Comparability, Since 2015, the statistics has been prepared on the same date source. In general the statistics is therefore comparable during time. As a consequence of law amendments or wishes for more information on specific kind of offences the division of type of offences has been altered during the years. , Read more about comparability, Accessibility and clarity, In StatBank the statistics are published in the tables , STRAF70, , , STRAF71, , , STRAF72, , , STRAF73, , og , STRAF74, ., Furthermore the statistics are published in the publication , "Kriminalitet", (Criminality)., See more at the , Subject page, ., Taylor made statistics can be produced on the basis of data from different registers, moreover through Statistics Denmark's Division of Research Service it is possible for researchers to be granted access to anonymised data., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Sales of Pesticides and Pesticides Usage in Crop Farming

Contact info, Food Industries , Karsten Kjeld Larsen , +45 21 29 55 76 , KKL@dst.dk , Get documentation of statistics as pdf, Sales of Pesticides and Pesticides Usage in Crop Farming 2016 , Previous versions, Sales of Pesticides and Pesticides Usage in Crop Farming 2014, The purpose of this statistic is to illuminate the sale and use of pesticides in agricultural crops. The statistics are used inter alia to assess the environmental and health risks associated with the use of pesticides. The statistics are comparable from 1981 onwards., Statistical presentation, The statistics are an annual statement of pesticide sales and pesticide use in agricultural crops, by weight and frequency of treatment. Pesticide sales are divided into pesticide type and pesticide group., Read more about statistical presentation, Statistical processing, Data are collected by Environmental Protection Agency., Read more about statistical processing, Relevance, The statistics cover the need for information on which substances and amounts of pesticides that are being used. This information is used along with the documentation used in connection with approval of pesticides, as an essential prerequisite in order to assess some of the environmental and health risks associated with the use of pesticides., Read more about relevance, Accuracy and reliability, Errors may occur in connection with registration of data in The Ministry of Environment as a a huge amount of data information is involved. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published no later than the year after the end of the reference period. The statistics are published without delay in relation to scheduled release times., Read more about timeliness and punctuality, Comparability, The Danish Crop Protection Association also collects data about sales of pesticides. However, the material is not suitable for use in connection with the compilation of pesticide statistics as the association only has nineteen members. The statistics can give a rough idea about developments. The statistics are published earlier than data are received from the Danish Environmental Protection Agency., Read more about comparability, Accessibility and clarity, The statistics are published in StatBank Denmark under the topic , Raw materials and auxiliaries, in the tables , PEST1, and [PEST2](http: //http://www.Statbank.dk/PEST2)., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sales-of-pesticides-and-pesticides-usage-in-crop-farming

Documentation of statistics

Documentation of statistics: Wholesale Trade, by Goods (Discontinued)

Contact info, Business Dynamics , Get documentation of statistics as pdf, Wholesale Trade, by Goods 2013 , Previous versions, Wholesale Trade, by Goods 2008, The purpose of the analysis is to shed light on the turnover structures of wholesale trade. Surveys have been conducted for the first time in 2009 with reference year 2008 ., Statistical presentation, The statistics provide data on the structure of wholesale trade turnover, industry turnover breakdown by product groups as well as product group wholesales by industries., Read more about statistical presentation, Statistical processing, Data are collected by web from 2,000 enterprises from Wholesales Trade sector. In the questionnaire the enterprises are asked to breakdown their turnover by a number of products, services and client categories. The reported data are checked by comparing the distribution of turnover among enterprises that are similar. Survey data is grossed up in part by including information from administrative sources on the VAT turnover in the reference year for the entire population., Read more about statistical processing, Relevance, The results are of interest to those monitoring the current business trends as well as the structural developments within wholesale trade. The statistics is in demand from trade and industry associations, bank and finance sector, politicians, public and private institutions, researchers, enterprises, news media and Eurostat. It is also of great interest to many enterprises within whole trade, as the results may allow them to compare their own business to their sector of trade or the wholesale trade more broadly., Read more about relevance, Accuracy and reliability, The survey is based on a sample and thus some uncertainty is attached to the results. For the whole retail trade sector, however, the uncertainty is considered to be small, since the coverage is extensive and the response rate high. For a few sectors with a relatively higher share of small enterprises, the limit of DKK 2.5 mil. may imply a higher uncertainty due to lower coverage., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published once every fem years and approximately 11 months after the reference year. The statistics is published usually without delay regarding to the announced date. To EU the data must be delivered within 18 months after the reference year., Read more about timeliness and punctuality, Comparability, It can be problems in comparing figures over time. This is because the data are only collected every five years. The survey has been carried out for the reference periods 2008 and 2013., Read more about comparability, Accessibility and clarity, Nyt, and , STATBANK, from Statistics Denmark., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/wholesale-trade--by-goods--discontinued-

Documentation of statistics

Documentation of statistics: Census of Housing

Contact info, Population and Education, Social Statistics , Annika Klintefelt , +45 23 31 14 33 , AKF@dst.dk , Get documentation of statistics as pdf, Census of Housing 2025 , Previous versions, Census of Housing 2024, Census of Housing 2023, Census of Housing 2022, Census of Housing 2021, Census of Housing 2020, Census of Housing 2019, Census of Housing 2018, Census of Housing 2017, Census of Housing 2016, Census of Housing 2016, Census of Housing 2014, The purpose of the housing statistics is to analyze the total housing stock and population housing. The statistics is used in the municipal equalization system. The housing statistics has been conducted annually since 1981. The statistics is comparable from 2010 onwards., Statistical presentation, The statistics are produced on a yearly basis and comprises all homes in Denmark. The statistics and is described through a number of variables; type of dwelling, type of ownership, type of heating installation, toilet, bathing, and kitchen facilities plus the year of construction and also the stock of occupied dwellings by tenure (rented or owner-occupied dwellings) type of household etc. In addition, the number of persons in dwellings by age and gender and number of children. The statistics are also geographically distributed by municipalities, regions and provinces., Read more about statistical presentation, Statistical processing, BBR- and CPR-data are matched via addresses and dwellings are split into dwellings with and without registered population. Inconsistencies are corrected and data summed., Read more about statistical processing, Relevance, Census of Housing is used by ministries, municipalities, companies and private persons., Read more about relevance, Accuracy and reliability, The degree of uninformed information for each variable is very little. Close cooperation between the BBR-authority and the Population Register in each municipality ensures a good match between the addresses in the two registers., All property owners are obliged by law to notify changes such as extensions, demolitions or a new roof to the municipal BBR-authority. It is up to the homeowners to update information in BBR themselves, so it is doubtful that changes, for example in the number of rooms, toilet / bathroom conditions or change of heating are always notified BBR., Read more about accuracy and reliability, Timeliness and punctuality, Data is released timely around 3-5 months after the reference period. The statistics are published without delay in relation to scheduled release times., Read more about timeliness and punctuality, Comparability, Then Census of Housing has been based on the BBR and CPR-registers since 1. January 1981. With the exceptions of a few variables the data are consistent from 1981. There are though certain reservations for comparison during this time period. , Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under the subject , Housing, . For further information, go to the , subject page, ., Read more about accessibility and clarity

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

Documentation of statistics

Classification of education (DDU), completed educations, v1:2023

Name: , DDU_AUDD_V1_2023 , Description: , DDU stands for Den Danske Uddannelsesklassifikation and is the Danish classification system for all educations in Denmark. Statistics Denmark operates the classification in cooperation with The Ministry of Higher Education and Science (UFM) as well as the Ministry of Children and Education (BUVM). , The classification covers both regulated and private educations and serves as a national standard for organising, describing and comparing the different possibilities for educations within Denmark’s educational system., All educations in DDU have a unique four-digit completed educations code, called AUDD-code, e.g. 4443: Miller. The education is placed in four groups in a hierarchical structure, which categorises the educations based level, differences in content and kinship:, Main area, A one-digit classification which describes the level of education at an aggregated level, Main group, A two-digit classification that represents the element of a legal or functional difference between the main areas in the education types within the same overall educational level. For example, distinctions can be made between vocational bachelors, academic bachelors and other medium cycle further educations within the main area=6,’’Medium cycle further education’’., Middle group, A three-digit classification and the first level in the classification of education where a division is made based on the content differences of the educational programs. Here, the education- and admission regulations are included., Sub group, A four-digit classification, which gives a more detailed content based division of educations within the same middle group., So far, three new statbank tables based on DDU have been published:, UDDALL10: , Educational activity by region, education (DDU), age, sex and status (2005-2022), EUD34: , Educational activity at upper secondary vocational educations by education (DDU), age, ancestry, national origin, sex, status and education part (2005-2022), KVEU20: , Participation in supplementary courses by field of education (DDU), region, age, sex, points in time and unit (2005-2022), Valid from: , December 1, 2023 , Office: , Population and Education , 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 (DDU), completed educations, v1:2023, December 1, 2023, Still valid

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

Classification of education (DDU), current educations, v1:2023

Name: , DDU_UDD_V1_2023 , Description: , DDU stands for Den Danske Uddannelsesklassifikation and is the Danish classification system for all educations in Denmark. Statistics Denmark operates the classification in cooperation with The Ministry of Higher Education and Science (UFM) as well as the Ministry of Children and Education (BUVM). , The classification covers both regulated and private educations and serves as a national standard for organising, describing and comparing the different possibilities for educations within Denmark’s educational system., All educations in DDU have a unique four-digit education code, also known as UDD, e.g. 4443: Miller. The education is placed in four groups in a hierarchical structure, which categorises the educations based on level, differences in content and kinship:, Main area, A one-digit classification which describes the level of education at an aggregated level, Main group, A two-digit classification that represents the element of a legal or functional difference between the main areas in the education types within the same overall educational level. For example, distinctions can be made between vocational bachelors, academic bachelors and other medium cycle further educations within the main area=6,’’Medium cycle further education’’., Middle group, A three-digit classification and the first level in the classification of education where a division is made based on the content differences of the educational programs. Here, the education- and admission regulations are included., Sub group, A four-digit classification, which gives a more detailed content based division of educations within the same middle group., So far, three new statbank tables based on DDU have been published:, UDDALL10: , Educational activity by region, education (DDU), age, sex and status (2005-2022), EUD34: , Educational activity at upper secondary vocational educations by education (DDU), age, ancestry, national origin, sex, status and education part (2005-2022), KVEU20: , Participation in supplementary courses by field of education (DDU), region, age, sex, points in time and unit (2005-2022), Valid from: , December 1, 2023 , Office: , Population and Education , 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 (DDU), current educations, v1:2023, December 1, 2023, Still valid

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/ddu-udd

Documentation of statistics

Each of the statistical products is described in Documentation of statistics., Browse documentation of statistics, People, Labour and income, Economy, Social conditions, Education and research, Business, Transport, Culture and leisure, Environment and energy, Economy, National accounts, Gross Fixed Capital Formation in Housing and Type of Repair (Discontinued), Income and consumption distribution in the household sector (experimental statistics), Multiplier Tables, National Accounts, Financial Accounts, National Accounts: Annual, National Accounts: Employment and Compensation of Employees, National Accounts: Fixed Capital Stock, National Accounts: Household Consumption Expenditure, National Accounts: Input-Output and Supply-Use, National Accounts: Institutional Sectors, National Accounts: Quarterly, Productivity, Quarterly national accounts (Discontinued), Regional Accounts, General government economy, Budgets and accounts of municipalities and regions, Budgets of General Government, Cereal Prices used for Regulation of Land Rents, Corporate Taxation, Educational expenditure (UOE Finance), Financial accounts for general government, Financial assets and liabilities of local government, Financial Assets and Liabilities of Local Government (Discontinued), Government budget allocations for research and development, Government deficit and debt in the EU-countries, Government Finance , Quarterly Accounts (Discontinued), Government Finance Statistics, Health care expenditures (SHA), Key Figures for Municipalities Accounts, Local Government Personal Income Taxation and Church Tax, Municipality Accounts (Discontinued), Municipality and Region accounts (Discontinued), Municipality and Region Budgets (Discontinued), Municipality Budgets (Discontinued), National Accounts: Annual, Overdue Tax (Discontinued), Personal income taxes, Public arrears, Real property taxes, Social protection expenditure, Taxes and Duties (Discontinued), The Budgeted Use of Manpower in Municipalities (Discontinued), The Public Sector Finances, Balance of payments and international trade, Balance of Payments, External Trade of Organic Products, International Trade in Goods, International Trade in Goods by Enterprise Characteristics, International Trade in Services, International Trade in Services by Enterprise Characteristics, Price index, Consumer Price Index, Development in Rents (housing), Harmonized Index of Consumer Prices (HICP), Industrial Production and New Orders Statistics (base year 2000, 1985-2006) (Discontinued), Net Price Index, Producer and Import Price Index for Commodities, Producer Price Index for Services, Purchasing Power Parities (PPP), Consumption, Consumer Expectations Survey, Farm Structure Survey, Home Appliances (Discontinued), Household Budget Survey, Human Consumption of Food (Discontinued), Radio and TV Statistics, Equipment Statistics, Appliances and Distribution (Discontinued), Property, Announcements of forced sales of real property, Rent indices for commercial real estate (Experimental statistics), Rent indices for housing, Sales of housing cooperatives, Sales of real property, Financial markets, Banks and mortgage-credit institutions, Interest and Share Price Indices, Profit and Loss Accounts of Danmarks Nationalbank

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics?subject=3

Documentation of statistics: Public arrears

Contact info, Government Finances, Economic Statistics , Ida Balle Rohde , +45 61 24 24 85 , ILR@dst.dk , Get documentation of statistics as pdf, Public arrears 2024 , Previous versions, Public arrears 2023, Public arrears 2022, Public arrears 2021, Public arrears 2020, Public arrears 2019, Public arrears 2018, Public arrears 2017, Public arrears 2016, The purpose of Arrears to general government is to analyze the yearly development in public debt that haven't been paid on time, among these tax in arrears. The statistics were published for the first time in 2017 covering the years 2013-2016 and the statistics are comparable over time. , Statistical presentation, The statistics provide a yearly overview of arrears to general government and it provides information about public arrears divided based on creditor and type. Both the total and the individual arrears are of public interest as they influence the government cash flow. , Read more about statistical presentation, Statistical processing, The compilation and the collection of data in done by the Danish Debt Collection Agency. Statistics Denmark makes no direct statistical treatment, except for validation of data. , Read more about statistical processing, Relevance, Arrears effect the public liquidity and, if they are not collected, also the surplus/deficit. The statistics are relevant for economic ministries, the central bank, NGOs and others compilers of economic analysis and forecast. The statistics are part of the general economic debate and often gets a lot of attention in the media and amongst other professional users., Read more about relevance, Accuracy and reliability, The statistics are based on Danish Debt Collection Agencys register, why errors in these are transferred to the statistics. However, these possible errors are assumed to be very small. the uncertainty is therefore assumed to be low. No revisions of data will be made., Read more about accuracy and reliability, Timeliness and punctuality, Data are published in the end of August in the year after the income year. The statistics only contain final figures. The statistics are usually published on the scheduled date without delays., Read more about timeliness and punctuality, Comparability, The statistics were published for the first time in 2017 covering the years 2013-2016. The data in the statistics is fully comparable over time. There are no common EU guidelines or manuals for statistics on public arrears., Read more about comparability, Accessibility and clarity, In the StatBank, these statistics can be found under the subject , Arrears to general government, . For further information, go to the arrears to general government , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/public-arrears

Documentation of statistics

Documentation of statistics: Employment Statistics for Graduates within Arts and Culture

Contact info, Labour Market , Pernille Stender , +45 24 92 12 33 , PSD@dst.dk , Get documentation of statistics as pdf, Employment Statistics for Graduates within Arts and Culture 2019 , Previous versions, Employment Statistics for Graduates within Arts and Culture 2018, Employment Statistics for Graduates within Arts and Culture 2017, Employment Statistics for Graduates within Arts and Culture 2016, These statistics estimate how graduates from artistic and cultural education, subsequently fare in the labor market, for up to 10 years after graduation. These statistics are comparable from 2010 onwards., Statistical presentation, The statistics are an annual statement of key figures on unemployment rates for graduates, the employment rate, the number of employed and the average incomes, for persons who have completed artistic and cultural education. The statistics are grouped by educational institution, education, gender, income type, unemployment type, sector, and geographical by place of work., Read more about statistical presentation, Statistical processing, Information about graduates within arts and culture is reported to Statistics Denmark by the institutions of higher education within arts and culture. The information is complemented with information from the populations statistics, the educational statistics, the register-based labour force statistics , the register-based unemployment statistics and the income statistic., Read more about statistical processing, Relevance, The statistics was originally made as a tailor made solution for the Rectors' Conference. When the responsibility for the cultural statistics where handed over to statistics Denmark, Statistics Denmark also got the responsibility for the employment statistics for graduates within arts and culture., Read more about relevance, Accuracy and reliability, It is not possible to calculate the margins of statistical error. The statistics are compiled for the whole population and, therefore, there is no sample error., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published 3-5 months after the latest input data source has been published. The latest data source is the register-based labour force statistics which is published 14-16 after the reference point in time., Read more about timeliness and punctuality, Comparability, The statistics are comparable from 2007 to 2010 and again in the current time series from 2010 onwards. Data breaches in 2010 are due to a number of mergers of educational institutions in the years from 2009 to 2011. There are no international standards for graduates from artistic and cultural educations' subsequent connection to the labor market. The statistics are therefore not directly comparable with statements from other countries., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Culture, education and employment, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/employment-statistics-for-graduates-within-arts-and-culture

Documentation of statistics

Documentation of statistics: Stock account for fish and shellfish

Contact info, National Accounts, Climate and Environment, Economic Statistics , Leif Hoffmann , +45 23 69 58 63 , LHF@dst.dk , Get documentation of statistics as pdf, Stock account for fish and shellfish 2025 , Previous versions, Stock account for fish and shellfish 2024, Stock account for fish and shellfish 2023, Stock account for fish and shellfish 2022, Stock account for fish and shellfish 2021, Stock account for fish and shellfish 2020, Stock account for fish and shellfish 2015, The stock account for fish and shellfish shows the development in the natural aquatic resources and in aquaculture. The accounts document the development in stocks, growth in stocks, catch/harvest of fish and shellfish for consumption and export of living fish as well as reduction in stocks., Statistical presentation, The stock account for fish and shellfish consist of a physical account for natural aquatic resources, as well as a physical and monetary account for aquaculture. These statistics act as a module in the Environmental-Economic Accounts for Denmark., Read more about statistical presentation, Statistical processing, Statistics Denmark prepares resource accounts for fish and shellfish based on data and quotas and catches compiled by The Danish Fisheries Agency, information on fish stocks developed by International Council for the Exploration of the Sea (ICES), information on aquaculture compiled by The Danish Fisheries Agency., Read more about statistical processing, Relevance, Stock accounts for fish and shellfish are relevant for national authorities, scientific researchers, organizations, enterprises, the educational sector and anyone with an interest for aquatic resources. . The UN and similar organizations focus on environmental-economic accounts within the statistical framework called System of Environmental-Economical Accounting (SEEA). , Read more about relevance, Accuracy and reliability, The resource account for natural aquatic resources cover approximately 90 pct. of the Danish stock calculated based on the catch in 2021. The missing coverage can be explained by insufficient information on less important species. The resource account for aquaculture is assessed to cover 100 pct. of the Danish stock ad the fish farms are obliged to report to the authorities annually., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published 12 months after the end of the reference year., Read more about timeliness and punctuality, Comparability, The methods and data sources for these statistics are unchanged throughout the period covered by published figures from 2010 and onwards. International comparison is possible with all other national resource accounts based on UN's statistical standard SEEA 2012., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank. In the StatBank, these statistics can be found under the subject , Natural resource accounts, . For further information, go to the subject page on , Environmental-Economic Accounting, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/stock-account-for-fish-and-shellfish

Documentation of statistics