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    Documentation of statistics: Sale of prescription drugs (experimental Statistics)

    Contact info, Personal Finances and Welfare , Jonas Kirchheiner-Rasmussen , +45 61 50 23 80 , RAS@dst.dk , Get documentation of statistics as pdf, Sale of prescription drugs (experimental Statistics) 2021 , Previous versions, The aim of the experimental statistics "Sales of prescription medicine" is to elucidate the population’s purchase of medicines via prescription. The statistics can be used to get insight into the distribution of redeemed prescriptions in relation to type of medicine, gender, age, geography and social conditions., Statistical presentation, The statistics "Sales of prescription medicine (Experimental statistics)" contain information on all sales of human medicines in Denmark, which took place via prescription. The statistics also cover the sale of medicines that do not require a prescription but are sold on prescription. Sales are calculated in relation to the number of people who have redeemed a prescription and the number of prescriptions redeemed. The statistic covers the period from the 1st of January 2016 to the 31st of December for people with registered residence in Denmark by 1st of January of the related year. , Read more about statistical presentation, Statistical processing, Source data comes from the Danish Health Data Agency, which once a month calculates all sales of human and veterinary medicines in Denmark, after they have validated and quality checked the data., Read more about statistical processing, Relevance, The statistics may be relevant for authorities who wish to gain an insight into the population's redemption of prescriptions and an insight into the redemption of prescriptions among certain population groups with regard to e.g. gender, age, geography and social conditions., Read more about relevance, Accuracy and reliability, Pharmacies are required by law to report data to The Danish Health Data Authority, but source data only cover sales of human medicines via prescription. This does not necessarily mean that the person who bought the medicine has taken the medicine. At the same time, the statistics do not contain information on the purchase of medicines without a prescription and it does not contain information about medicines used in hospitals or in medical practices. The statistics are not expected to be revised, as The Danish Health Data Authority very rarely corrects source data back in time., Read more about accuracy and reliability, Timeliness and punctuality, The statistics will be published in February 2023, and is currently not expected to be published again., Read more about timeliness and punctuality, Comparability, Several comparable national and international statistics exist about the consumption of medicines. There are several factors that can influence the sales of prescription medicine. Regulations of witch medicines that require prescription and the amount of subsidies offered by the authorities, can vary from country to country and over time. Therefore it is important to be observant of these factors, if the statistics is used to evaluate the consumption of medicine over time or to compare consumption from country to country., Read more about comparability, Accessibility and clarity, The statistic can be found in the Statbank under the subject Health. It is ensured, that there are at least 5 observation per cell. At this time it is not possible to order a tailor-made statistic. , Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sale-of-prescription-drugs--experimental-statistics-

    Documentation of statistics

    Documentation of statistics: Board members and managers

    Contact info, Business Dynamics, Business Statistics , Asbjørn Hviid Mikkelsen , +45 29 42 68 36 , AHM@dst.dk , Get documentation of statistics as pdf, Board members and managers 2023 , Previous versions, Board members and managers 2022, Board members and managers 2021, Board members and managers 2020, Board members and managers 2019, Board members and managers 2018, Board members and managers 2017, The purpose of the statistics is to give a coherent and consistent description of the structure and development among members of board and management in enterprises. The statistics was first published for the reference year 2017. In 2024, a revised time series was created retrospectively back to 2019., Statistical presentation, The statistics of board members and managers shows active members in board and management of active enterprises in Denmark. It includes the private sector and all activity codes, but is limited to shareholder companies, Limited Liability Companies and entrepreneurship companies., The former name of the statistics was “Members of boards and management”. The production method for the statistics remain unchanged. The data source is from the production year 2024 and onwards vastly improved compared to earlier. , Read more about statistical presentation, Statistical processing, The statistics combines multiple statistical registers from Statistics Denmark regarding population and enterprises. The statistics covers members of active enterprises in Denmark, in the private sector with the types shareholder company, limited liability company and entrepreneurship company. Entrepreneurship companies are only included until 2021, where the company type ceases to exist entirely, Read more about statistical processing, Relevance, The statistics are relevant for analyses of members in the boards and managements in the Danish business society. Central users are: Ministries, business centers, regions, municipalities, private enterprises and private persons., Read more about relevance, Accuracy and reliability, The uncertainty associated with the statistics is linked to uncertainty from the administrative sources of statistics. Enterprises have an obligation by law to self-report information. The Business Authorities can ultimately close companies who does not apply to legislation. Statistics Denmark have no possibility to control data, but asses on basis of this fact, that the uncertainty is limited in scope., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published each year but the publication month can vary. The statistics are published without delay in relation to scheduled release times., Read more about timeliness and punctuality, Comparability, The statistics is comparable to the Generel Enterprise statistics under the same delimitation of type of enterprise and sector. , Since the reference year 2022, the statistics has been revised retrospectively to the reference year 2019 and is not comparable to the former time series spanning the period 2014-2021. , Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release and in the StatBank under , Board embers and managers, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/board-members-and-managers

    Documentation of statistics

    Documentation of statistics: Innovation in the private sector

    Contact info, Science, Technology and Culture , Anne-Sofie Dam Bjørkman , +45 20 37 54 60 , ASD@dst.dk , Get documentation of statistics as pdf, Innovation in the private sector 2022 , Previous versions, Innovation in the private sector 2020, Innovation in the private sector 2018, Innovation in the private sector 2016, Innovation in the private sector 2015, Innovation Statistics 2014, Innovation Statistics 2013, Innovation Statistics 2012, The purpose of the innovation survey is to examine the scope, the nature and the effect of innovation in the business sector including the innovation activities. Data will be collected enabling comparisons over time. The survey is conducted in accordance with the EU and OECD guidelines for innovation statistics described in the Oslo Manual. Danish data are thereby comparable with data from other EU countries. From the reference year 2007 statistics are compiled on a yearly basis., Statistical presentation, Innovation in the enterprise sector is a yearly statistics on resources used for R&D and share of innovative enterprises. The statistics is distributed by sector, size class and region., Read more about statistical presentation, Statistical processing, Data for this statistics are collected via questionnaires for app. 3,600 respondents among a population of app. 20,000 enterprises. The material is validated already during the response from the enterprise, and afterwards followed by computer-aided validation and manual validation. Imputations and calibrated weighting is also a part of the treatment of data., Read more about statistical processing, Relevance, The statistics is used by ministries, business organizations, researchers, the media, private enterprises and students. It is used for research, publications from ministries and for international comparison. Indicators based on the statistics is part of the documentation of the knowledge society. Indicators based on the statistics are included in the EU Innovation Union Scoreboard, which is part of the Europe2020 strategy. , Read more about relevance, Accuracy and reliability, Errors in the data reports and problems for companies with determining exact amounts that are used on innovation, and when it is innovation and innovation activities., Coefficients of variation (CV) for central indicators in 2016 (preliminary data) are under processing., For 2016: - Share of enterprises with innovation: 2.0 - Innovation expenditure, other innovation expenditure: 2.5, Read more about accuracy and reliability, Timeliness and punctuality, Normally the statistics is published less than a year after the end of the reference period. The statistics for 2022 is published 15 months after the end of the reference period., Read more about timeliness and punctuality, Comparability, The statistics is comparable from 2007 and onwards. Data is delivered to Eurostat, the statistical office of the EU, and to OECD, who are both publishing aggregated data in their databases., The statistics is compiled according to an EU-regulation, describing in details which variables to deliver and for which size classes, types of activities etc. The Danish statistics is therefore comparable with the similar statistics of other EU-countries, provided that they follow the regulation., The statistics is to a certain degree comparable with the statistics on innovation in the public sector., Read more about comparability, Accessibility and clarity, The statistics is published yearly in Nyt fra Danmarks Statistik (News from Statistics Denmark). In Statistikbanken data on innovation in enterprises are published in the tables INN21, INN22, INN23, INN24 and INN25. Furthermore data is included in the publication "Innovation og forskning" on the theme page of the statistics., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/innovation-in-the-private-sector

    Documentation of statistics

    Documentation of statistics: Structure of Earnings

    Contact info, Labour Market , Bao Chau Do , +45 30 62 50 74 , BCD@dst.dk , Get documentation of statistics as pdf, Structure of Earnings 2023 , Previous versions, Structure of Earnings 2022, Structure of Earnings 2021, Structure of Earnings 2020, Structure of Earnings 2019, Structure of Earnings 2018, Structure of Earnings 2017, Structure of Earnings 2016, Structure of Earnings 2015, Structure of Earnings 2014, Structure of Earnings 2013, The purpose of the structure of earnings statistics is to provide detailed information about employees' earnings analysed by level of education, occupation, region, industry and age for the entire labour market. The structural statistics on earnings form part of Statistics Denmark's coherent statistical system for earnings and labour costs. The system covers the public sector as well as corporations and organizations., Statistical presentation, The statistics include all establishments in the general government sector. As for the sector corporations and organizations all enterprises are included with an employment corresponding to ten or more full-time employees, with the exception of the industry agriculture, forestry and fishing. The statistics are not immediately suitable for shedding light on wage developments, as the change between two years, in addition to wage increases, reflects changes in employee composition such as the arrival and departure of employees within given groupings., Read more about statistical presentation, Statistical processing, Annually payroll information is collected for the entire General government sector as well as for companies in the private sector with 10 or more full-time employees. The public sector is considered full deck while the total population of private sector is only comprised of enterprises with 10 or more full-time employees., Read more about statistical processing, Relevance, Users of statistics are wide-ranging from national and international organizations , ministries , municipalities and regions for private companies and individuals. The structure of earnings statistics cannot be used as an employment indicator. For this purpose one should instead use the employment statistics. , Read more about relevance, Accuracy and reliability, The margins of statistical errors are especially linked to hours of work. Especially data reported on paid absence can be subject to inaccuracies. In addition to this, there may be errors in the periodic delimitation, which are essential to the compilation of hours worked as well as the agreed working time. However, efforts are continuously made to improve the data quality through feedback to the enterprises and through updating and improvement of the production systems., The statistical uncertainty is not calculated., Read more about accuracy and reliability, Timeliness and punctuality, The structure of Earnings is published on a yearly basis at then end of September following the reference period. The information is normally published without delay compared to schedule., Read more about timeliness and punctuality, Comparability, These statistics are in its current form, comparable from 2013 and onwards. Structural changes from year to year must be taken into account, when comparing the level of earnings over time. Annual data are transmitted to Eurostat by all EU Member States, and the statistics Structure of Earnings Survey (SES) are compiled on the basis of these data. , Read more about comparability, Accessibility and clarity, These statistics are published annually 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 , Structure of earnings, . For further information, go to the , subject page, . , Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/structure-of-earnings

    Documentation of statistics

    Documentation of statistics: Medium-Cycle Higher Education

    Contact info, Population and Education, Social Statistics , Mikkel Jonasson Pedersen , +45 23 60 42 07 , mps@dst.dk , Get documentation of statistics as pdf, Medium-Cycle Higher Education 2024 , Previous versions, Medium-Cycle Higher Education 2023, Medium-Cycle Higher Education 2022, Medium-Cycle Higher Education 2021, Medium-Cycle Higher Education 2020, Medium-Cycle Higher Education 2019, Medium-Cycle Higher Education 2018, The statistics about medium-cycle higher education describe activity on medium-cycle higher education in Denmark. Medium-cycle higher education is defined from Statistics Denmark's education classification DISCED-15 as all education classified on level 50. The levels in DISCED-15 for higher education are classified according to the main fields regulated by law. Medium-cycle higher educations are typically 1-2 years in duration. Medium-cycle higher education statistics is in its current form comparable since 2005 and is part of the overall Student Register, which contains information on all students and students in ordinary education in Denmark., Statistical presentation, These statistics contains yearly data about the activity on medium-cycle higher education in Denmark. This includes the number of entrants, the number of completed and the number of active students. The statistics are divided by education and the students' age, sex, ancestry and national origin., Read more about statistical presentation, Statistical processing, The data for these statistics are collected yearly in October from the administrative systems of the educational institutions. Statistics Denmark have drawn up standards for reporting formats, validation and error searching in cooperation with the system provider ESAS, who is in charge of the administrative systems at most institutions who offer medium-cycle higher education. This means that the data received by Statistics Denmark have already been controlled. In addition, a thorough error search and validation of data are done by Statistics Denmark, where data is controlled for fluctuations across time and irregularities at the individual level., Read more about statistical processing, Relevance, The statistics are relevant for public administrators, scientists and other analysts, journalists and citizens etc. as basis for prognoses, analyses and planning purposes in the educational field, but also for example in the labour market field and the integration field. The basic data for the statistics are used as background data for most of the personal statistics at Statistics Denmark, and it is the basis for the tables in StatBank Denmark about education. , Read more about relevance, Accuracy and reliability, The administrative systems that are the basis for the statistics are used by the institutions for their own daily administration of the students and also for the payment of different economic grants. Correct registers are therefore necessary for the economy of the institutions and contributes to an expected high quality of the data source. However, occasional errors will almost always occur. These are almost always fixed before next year's publication of data., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published about 4 months after the reference time which is 1 October. , Read more about timeliness and punctuality, Comparability, The current time series of these statistics goes back to 2005, but statistics on medium-cycle higher education have been made further back than this. It may be difficult to compare the figures internationally, as medium-cycle higher education is defined differently from country to country., Read more about comparability, Accessibility and clarity, Statistics are released 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 , Medium-cycle higher education, . For further information, see the , homepage of education statistics, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/medium-cycle-higher-education

    Documentation of statistics

    Documentation of statistics: Sales of real property

    Contact info, Prices and Consumption, Economic Statistics , Jakob Holmgaard , +45 24 87 64 56 , JHO@dst.dk , Get documentation of statistics as pdf, Sales of real property 2023 , Previous versions, Sales of real property 2022, Sales of real property 2021, Sales of real property 2020, Sales of real property 2019, Sales of real property 2018, Sales of real property 2017, Sales of real property 2016, The statistics for Sales of real estate property measure the number of sales and prices of transactions of Danish real estate properties. The statistics are used for monitoring developments in the real estate market, as well as economic developments. The current price indices link back to 1992. There are price indices for previous years, but there are methodological differences., Statistical presentation, This statistics are published monthly including price and volume trends in real estate transactions, such as one-family houses, owner-occupied flats, agricultural properties and business properties. These statistics contain key figures broken down by category of real estate property, region, type of transfer, price index and period. The statistics include all registered real estate transactions, which include land, both newly built and existing properties., Read more about statistical presentation, Statistical processing, Data concerning the registration of ownership of real estate properties is collected on a monthly basis from the electronic land registration system via Datafordeleren. The data is checked for errors by Statistics Denmark. The individual real estate transactions are divided according to category of real property, region, type of transfer and period. Aggregated figures are then calculated for number of sales, average prices and the ratio between purchase price and appraisal value (spar-value). Finally, the price index is calculated., Read more about statistical processing, Relevance, There is a great interest for the published numbers among users, which follows the currently economic business cycle. The statistics of sales of real properties are relevant for the banking- and financial sector, real estate agents, politicians, researchers and the news media. The users consider the statistics for sales of real estate properties as an important economic indicator. The statistics have a high profile in the press and among other professional users., Read more about relevance, Accuracy and reliability, The precision of the price development is the result of the quality of the appraisals and of the assumptions in the SPAR-method, which seeks to correct the quality of the sold properties in order to measure the pure price development. There is no significant bias in the preliminary figures for the price development, while the preliminary figures for the average prices are underestimated, as they are not corrected for the bias in the registration pattern., Read more about accuracy and reliability, Timeliness and punctuality, The statistics for sales of real property publish preliminary quarterly and annual figures 3 months after the end of the reference period. Monthly figures are published only as final figures. Final figures are available 13 months after the end of the reference period. The statistics are published without delays in the planned releases. , Read more about timeliness and punctuality, Comparability, Comparable house sales statistics for all EU member states can be found on the , Eurostats website, where figures are published around 100 days after the end of a quarter (reference period)., Read more about comparability, Accessibility and clarity, The statistics for sales of real properties is published in , News from Statistics Denmark, . Detailed figures can be found in , StatBank, and in the [Online payment data bank](https://www.dst.dk/betalingsdatabank. The figures are also included in the Statistical Ten-Year Review and Statistical Yearbook (has been discontinued). Historical figures can be found here: , Historical sales of real property, . Analyzes (only available in Danish) can be found , here, and , here, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sales-of-real-property

    Documentation of statistics

    Documentation of statistics: Reported criminal offences

    Contact info, Population and Education, Social Statistics , Iben Birgitte Pedersen , +45 23 60 37 11 , IPE@dst.dk , Get documentation of statistics as pdf, Reported criminal offences 2024 , Previous versions, Reported criminal offences 2023, Reported criminal offences 2022, Reported Criminal Offences 2021, Reported Criminal Offences 2020, Reported Criminal Offences 2019, Reported Criminal Offences 2018, Reported Criminal Offences, Year 2017, Reported Criminal Offences, Year 2016, Reported Criminal Offences 2015, Reported Criminal Offences, Year 2014, Reported Criminal Offences, Year 2013, Documents associated with the documentation, Engelsk_Voldtægtsforbrydelser_Anmeldelser (docx), offerrapport_2021 (pdf) (in Danish only), Engelsk_Voldtægtsforbrydelser_Anmeldelser (docx), offerrapport_2022 (pdf) (in Danish only), The statistics analyze the number of criminal offences in violation of the criminal code and the special laws (except those contained in the Danish Road Traffic Act) to the police. The statistics on reported criminal offences date back to 1921. Until 1990, Statistics Denmark received monthly copies of the offence reports from the police for registration. Since 1 January 1990, Statistics Denmark has received data both quarterly and annually from the Central Register of Reported Offences, a register administered by the National Commissioner of the Danish Police., Statistical presentation, The statistics show the number of offences of criminal code and special laws/legislation reported to the police or discovered by the police itself., The statistics on reported criminal offences form part of the Danish System of Criminal Statistics. The System of Criminal Statistics includes data on criminal cases from the reported offences and charges to the convictions plus arrests and imprisonments., Read more about statistical presentation, Statistical processing, The source of the statistics is The Central Register of Reported Criminal Offences - administered by the National Commissioner of the Danish Police. Data are delivered yearly via System-to-system transmission., The data go through a probability check in form of a comparison with data from the previous year, key variables are checked for valid values and irrelevant offences are deleted., Read more about statistical processing, Relevance, The statistics are used broadly by the authorities, organizations, researchers, the press etc. The tables in the statbank.dk are used frequently. Views and suggestions from key users are taken into consideration in the preparation of the statistics., Read more about relevance, Accuracy and reliability, The accuracy of the statistics on reported criminal offences is considered to be good. The data come from a single administrative register system storing information on all reported crimes. Analyses have shown that approximately 5 percentages of the crimes registered in a calendar year, are committed in an earlier year. Corresponding approximately 5 percentages of all crimes reported committed in a calendar year are not registered until a following year. The statistics do not include information on the hidden criminality, i.e. committed criminal offences not reported to the police., Read more about accuracy and reliability, Timeliness and punctuality, The publishing time for the statistics is about 2 months. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The statistics have been prepared on the same basis since 1990. Due to changes in the grouping of the criminal offences and changes in the 'clear-up-concept' caution should be shown by comparing figures over time before this year., Eurostat collects annual data from the member states on reported criminal offences and publishes statistics based on this. However, according to the Eurostat metadata, the range of items included in the different groups of crime differs between countries and comparisons based upon absolute figures are therefore misleading., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release. In the StatBank, these statistics can be found under , Reported criminal offences, . For further information, go to the , subject page, . , Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/reported-criminal-offences

    Documentation of statistics

    Documentation of statistics: Teacher-student register for primary school

    Contact info, Population and Education , Eva Lotti Hansen , +45 21 59 99 06 , EBR@dst.dk , Get documentation of statistics as pdf, Teacher-student register for primary school 2023 , Previous versions, Teacher-student register for primary school 2022, Teacher-student register for primary school 2021, The Matched Educational Data for primary and lower secondary education level (MED-Elementary) serves the purpose of enriching the elementary school statistics with information about the individual lessons. The data registry has been developed for research purposes and provides the possibility to study who receives teaching together and who executes the teaching. So far, the register covers the school year of 2020/2021, 2021/2022, and 2022/2023. , Statistical presentation, The database, MED-Elementary, contains information about students, groups, teachers and their activities in public elementary schools and other schools at the level of primary to lower secondary education in Denmark. The register covers 0th to 10th grade in the Danish school system. , In its current form, the registry covers from the school year of 2020/21 and are updated yearly with the addition of another year. , Read more about statistical presentation, Statistical processing, The data for this registry is collected weekly from the schools' digital login system, Unilogin, and the communication platform, AULA, as automatic system-to-system reporting. The weekly updates are compiled into chronological tracks, which undergo a broad validation process followed by and enrichment of the data, also on a weekly basis. Once a year data from the two sources are integrated and combined with data from the Student Registry. , Read more about statistical processing, Relevance, MED-Elementary has been developed for research purposes and creates opportunities for research in teaching at the level of the individual lessons in primary and lower secondary schools. This applies, for example, to the importance of the composition and length of the school day. In the development of MED-Elementary, external stakeholders and future users have been continuously involved., Read more about relevance, Accuracy and reliability, The information in the database comes from the institutions' administrative systems and good agreement has been found with existing registers based on other data sources., By translating the activity designations into a mandatory subject, the number of hours at each individual school is compared to the minimum requirement or the indicative number of hours according to the executive order on elementary schools. It is estimated that in 84 pct. of primary schools, students have on average between 85 pct. and 115 pct. of the recommended number of hours/minimum hours in the executive order in the school year 2021-2022., Read more about accuracy and reliability, Timeliness and punctuality, It is expected that the register will be published in April for the previous school year without significant delays., Read more about timeliness and punctuality, Comparability, The MED-Elementary is currently available for the school year 20/21, 21/22 and 22/23 ., Read more about comparability, Accessibility and clarity, Researchers and other analysts from authorized research institutions can gain access to the Micro-data through Statistics Denmark's Research Scheme, and the ministries will be able to gain access through the ministerial scheme., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/teacher-student-register-for-primary-school

    Documentation of statistics

    Documentation of statistics: Housing Benefits (monthly

    Contact info, Labour Market, Social Statistics , Morten Steenbjerg Kristensen , +45 20 40 38 73 , MRT@dst.dk , Get documentation of statistics as pdf, Housing Benefits (monthly 2024 Month 01 , Previous versions, Housing Benefits (monthly 2023 Month 03, Housing Benefits 2022 Month 02, Housing Benefits 2022 Month 01, Housing Benefits 2021 Month 12, Housing Benefits 2020 Month 12, Housing Benefits 2019 Month 12, Housing Benefits 2018, Housing Benefits 2017 Month 12, Housing Benefits 2016 Month 12, Housing Benefits 2015 Month 12, Housing Benefits 2014 Month 12, Housing Benefits 2013 Month 12, Housing benefit is a tax free subsidy granted to households with high housing expenses relative to the household income. The purpose of the statistics on housing benefit is to elucidate the number of beneficiaries of housing benefit and the amount received in benefit. The housing benefit statistics date back to 1967, but is in the current format comparable back to 2007., Statistical presentation, The statistics on housing benefits cover statistics on the number of all beneficiaries (i.e. households), and amounts granted on a monthly basis. Rent subsidies (for non-pensioners, as well as to early retirees, who have been assigned pension after January 1st 2003) and housing allowances (for retirees) depending on a number of variables (type of benefit, rent income and number of children)., Read more about statistical presentation, Statistical processing, Data for these statistics are collected monthly from Udbetaling Danmark via a system-to-system connection. Data are treated annually. Invalid data are excluded. Afterwards, the data is aggregated by the type of housing benefit, municipality and age., Read more about statistical processing, Relevance, These statistics are relevant for various Ministries, municipalities, researchers, and KL- Local Government Denmark and researchers. The statistics are used internally in Statistics Denmark, Municipal budgets and to assess the law on individual housing benefits., Read more about relevance, Accuracy and reliability, The statistics are based on administrative registers of housing benefits, but errors and duplicates may occur in the register. Invalid data and duplicates are removed (less than 0.01 pct.). The housing benefit amounts are overestimated compared to reality, since months with less than a full month's housing eligibility are included as a full month in the statistics. Only final figures are published., Read more about accuracy and reliability, Timeliness and punctuality, The statistics on housing benefits 2025 is published in March 2026., Read more about timeliness and punctuality, Comparability, Statistics on housing benefits in Denmark date back to 1967. The statistics are comparable since 1983 in its current format. The statistics are produced according to common European guidelines and are therefore comparable to statistics from other countries published in Eurostat., Read more about comparability, Accessibility and clarity, These statistics are published yearly in , Nyt fra Danmarks Statistik, . Simultaneously, the statistics are published online at http://www.Statbank.dk under the subject , Adults receiving social benefits, ., Read more about accessibility and clarity

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

    Documentation of statistics

    Documentation of statistics: Convictions

    Contact info, Population and Education, Social Statistics , Jonas Ellemand , +45 24 90 74 98 , JOE@dst.dk , Get documentation of statistics as pdf, Convictions 2024 , Previous versions, Convictions 2023, Convictions 2022, Convictions 2021, Convictions 2020, Convictions 2019, Convictions 2018, Convictions 2017, Convictions 2016, Convictions 2015, Convictions 2014, Convictions 2013, Documents associated with the documentation, Engelsk_Voldtægtsforbrydelser_Domme (docx), Engelsk_Voldtægtsforbrydelser_Afgjorte biforhold (docx), The purpose of the statistics is to analyse the number of convictions for criminal offences in connection with offences against the penal code, the road traffic act and other special laws. The statistics on convictions for criminal offences date back to 1832, but are in its present form comparable from 1980 and onwards., Statistical presentation, The statistics shed light on the number of convictions for violation of the penal code, the road traffic act and other special legislation as well as the length of imprisonments. Convictions consist of imprisonments, fines, withdrawals and also acquittals. The statistics are divided after type of offence, type of conviction, sex, age, municipalities and regions., Read more about statistical presentation, Statistical processing, The source of the statistics is The Central Criminal Register - administered by the National Commissioner of the Danish Police. Data are delivered yearly via System-to-system transmission. The data go through a probability check in form of a comparison with data from the previous year, key variables are checked for valid values and irrelevant decisions are deleted. Based on the reported data the length of unsuspended and suspended sentences are calculated., Read more about statistical processing, Relevance, The statistics are used broadly by the authorities, organizations, researchers, the press etc. The tables in the http://www.statbank.dk are used frequently. Views and suggestions from key users are taken into consideration in the preparation of the statistics., Read more about relevance, Accuracy and reliability, The reliability of the statistics on convicted criminal offences is considered to be good. The data come from a single administrative register and Statistics Denmark receives a single total extract annually., The statistics include all convictions registered in the central criminal register at the time the extract is done, typically about February 1st following the relevant year. A number of convictions made during the year will happen not to be registered at that time. That implies that the total number of convictions presumably is under-estimated., The statistics is only published as final figures., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 3 months after the end of the year. The punctuality is very high as the statistics usually are published without delay in relation to the scheduled time., Read more about timeliness and punctuality, Comparability, Since 1979, 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, The statistics are published in: , News from Statistics Denmark, . In StatBank the statistics are published under the subject , Convictions, . Besides this the statistics form part of Statistical Ten-Year Review and the publication , Kriminalitet (Criminality), (danish only). At Statistics Denmark's webpage the statistics furthermore are presented on its , Subject page, ., Read more about accessibility and clarity

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

    Documentation of statistics