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Documentation of statistics: Birth Cohort Crime

Contact info, Personal Finances and Welfare, Social Statistics , Jonas Ellemand , +45 24 90 74 98 , JOE@dst.dk , Get documentation of statistics as pdf, Birth Cohort Crime 2025 , Previous versions, Birth Cohort Crime 2024, Birth Cohort Crime 2023, Birth Cohort Crime 2022, Birth Cohort Crime 2021, Birth Cohort Crime 2020, Birth Cohort Crime 2019, Birth Cohort Crime 2018, Birth Cohort Crime 2017, Birth Cohort Crime 2016, Birth Cohort Crime 2014, Birth Cohort Crime 2015, The purpose of the statistics is to analyse the number of persons from each birth cohort who have been found guilty in violation of the penal code during their lifetime. The statistics on birth cohort crime 2025 covers the birth cohorts 1965-2009., Statistical presentation, The statistics shed light on the number of persons in each birth cohort who have been convicted for violation of the penal code during their life time. , The published statistics distributes the birth cohorts by sex and age at first conviction. Furthermore, the statistics show the age at first conviction for groups of offences., Read more about statistical presentation, Statistical processing, Data from Statistics Denmark's register of convictions are linked to data from Statistics Denmark's population register. , When data are delivered to this statistics, they 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, organisations, researchers, the press 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 convictions made during the calendar year have not been registered before the data are drawn. This implies that the total number of convictions presumably is under-estimated. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 6 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, The statistics has been prepared on the same data source since its start. In general, the statistics is therefore comparable during time., Law amendments in terms of changes in the penalties for certain types of offences can have influenced the development in the proportion of the birth cohorts registered with a conviction for these kinds of offences., 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 , Birth cohort crime rates, in the tables , STRAFFO1, , , STRAFFO2, , , STRAFFO3, og , STRAFFO4, ., See more at the , subject page., ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/birth-cohort-crime

Documentation of statistics

Documentation of statistics: Price of North Sea oil

Contact info, Prices and Consumption, Economic Statistics , Nicklas Milton Elversøe , +45 61 15 35 98 , NEL@dst.dk , Get documentation of statistics as pdf, Price of North Sea oil 2025 , Previous versions, Price of North Sea oil 2023, Price of North Sea oil 2022, These statistics show an average price for North Sea oil sold, that reflects the characteristics applied to oil production in the Danish part of the North Sea. These statistics are produced and disseminated as part of the Hydrocarbon Tax Act and were first published in 2023 with figures for 2022., Statistical presentation, These statistics provide annual figures with the yearly average of the prices of the North Sea oil sold, quoted in US dollars (USD)., Read more about statistical presentation, Statistical processing, Price data for sold North Sea oil is collected annually. Statistics Denmark validates data including checking that there is data for all trading days. Statistics Denmark then uses the published reference price (PCAAS00) as the basis for calculating the average crude oil price during the year. The calculation is made as a simple average of the daily-published reference prices., Read more about statistical processing, Relevance, The statistics are relevant to SKAT as a basis for hydrocarbon taxation, which is described in more detail in the Hydrocarbon Tax Act., Read more about relevance, Accuracy and reliability, The use of the oil price collected from S&P Global Commodity Insights, PCAAS00, as well as the calculation of the annual price as a simple average, is specifically mentioned in the comments to the Hydrocarbon Tax Act, the price's precision and representativeness for Danish North Sea oil is affected both by which fields are incorporated into the price for North Sea oil and how S&P Global Commodity Insights makes quality adjustments., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 15 days after the end of the year, i.e. no later than February 15. The statistics are published without delays in relation to planned publication times., Read more about timeliness and punctuality, Comparability, These statistics will be published for the first time in 2023, and the statistics are prospectively comparable to previous years. The representativeness of the collected price data is continuously assessed by Statistics Denmark and an expert group consisting of the Nordsøfonden and the Energy Agency., Read more about comparability, Accessibility and clarity, The statistics are published annually in the statistics bank under environment and energy, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/price-of-north-sea-oil

Documentation of statistics

Documentation of statistics: Absence from work

Contact info, Labour Market, Social Statistics , Summer Cook , +45 30 68 39 52 , SCO@dst.dk , Get documentation of statistics as pdf, Absence from work 2024 , Previous versions, Absence from work 2023, Absence from work 2022, Absence from work 2021, Absence from work 2020, Absence 2019, Absence 2018, Absence 2017, Absence 2016, Absence 2015, Absence 2014, Absence 2013, Absence 2012, The purpose of the statistics of absence is to describe the amount of work that is lost due to absence. Absence is divided into "Own sickness", "Children's sickness", "Occupational injury" and "Maternity and adoption leave". The statistics are published on a yearly basis and are used for estimating and comparing the level of absence within different groups of employees., Statistical presentation, The statistics of absence are published yearly for the governmental sector, the local governmental sector and the private sector. Statistics according to the new sector definition from 2013 are also published for the labour market as a whole. The absence is grouped by the variables occupation, education, industry, region, age and sex. From 2013 own sickness is published by lengths of period. In the governmental and municipal sector all employees are included while the private sector is described by a representative sample of enterprises with 10 or more employees., Read more about statistical presentation, Statistical processing, On a yearly bases information on absence is collected from all of the public sector and from a sample 2600 private enterprises with 10 or more employees. After validating the absence data the periods of absence are connected to the job from which the person was absent. The information about the extent of the employment is found in the earnings statistics. The information on absence from the private sector is enumerated to the total population of enterprises with 10 employees or more., Read more about statistical processing, Relevance, Absence has both personal and economic consequences that have an impact on both employees, employers and the community. The statistics are tools used in estimating and comparing the level of absence within different groups of employees, and can be a foundation on which economic and political decisions are made. The statistics are of interest for the central government, municipalities and regions, private business enterprises, non-governmental organizations, researchers and news media. , Read more about relevance, Accuracy and reliability, The governmental and local government sector in principle include all employed persons. For these sectors there is immeasurable inaccuracy mainly caused by measuring errors., The private sector is based on a representative sample of about 2600 enterprises. The inaccuracy can be divided into sampling inaccuracy and the immeasurable inaccuracy that derives from measuring errors. The total absence rate for own sickness is determined with a 95 percent confidence interval to vary around +/- 0.05 percent. Sampling errors for divisions on e.g. gender or industry are considerably higher., Read more about accuracy and reliability, Timeliness and punctuality, The statistics of absence refers to the whole year to which the absence periods belongs The statistics is published on a yearly basis at the end of October following the reference period. The information is published without delay compared to schedule., Read more about timeliness and punctuality, Comparability, The statistics of absence for the central governmental sector covers the year 2003 and forward, while the first data for the local governmental sector was published for the year 2005. The statistics for the private sector covers the period from 2007 and forward. From 2010 the municipality sector and the regional sector are published separately. Before 2010 the two sectors were only published together., The method and quality of data have continuously been improved especially the first years of the statistics. Comparisons between sectors and years (especially the earliest published data) should only be made with reservations., Read more about comparability, Accessibility and clarity, The latest results are published once a year in a Danish press release, at the same time as tables are updated in the StatBank. In the StatBank, these statistics can be found under the subject , Absence from work, . It is possible to buy more detailed results and to get access to micro-data through Statistics Denmark's Research services., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/absence-from-work

Documentation of statistics

Documentation of statistics: Labour Costs for Corporations and Organizations

Contact info, Labour Market, Social Statistics , Sam Blanch , +45 23 63 60 44 , SLB@dst.dk , Get documentation of statistics as pdf, Labour Costs for Corporations and Organizations 2024 , Previous versions, Labour Costs for Corporations and Organizations 2023, Labour Costs for Corporations and Organizations 2022, Labour Costs for Corporations and Organisations 2021, Labour Costs for Corporations and Organizations 2020, Labour Costs for Corporations and Organizations 2019, Labour Costs for Corporations and Organizations 2018, Labour Costs for Corporations and Organizations 2017, Labour Costs for Corporations and Organizations 2016, Labour Costs for Corporations and Organizations 2015, Labour Costs for Corporations and Organizations 2014, Labour Costs for Corporations and Organizations 2013, The purpose of the statistics of total labour costs for corporations and organizations is to monitor trends and the level of the total labour costs broken down by industry, occupation and main components. The statistics on total labour costs are published once every year and are used to compare the total labour costs across industries and occupations., Statistical presentation, The labour costs for the private sector is published for 9 of the main class of industries in addition to 9 different types of occupation. Data on earnings are obtained from the annual structure of earnings survey for the private sector, which is based on a full-scale survey comprising business enterprises with more than 10 full-time employees, while other labour costs are based on a special sample survey for enterprises with 10 or more employees, also including apprentices and employees under the age 18. The labour costs comprise each employee's total earnings in connection with his/her job and other labour costs that are not considered to be an income for an employee., Read more about statistical presentation, Statistical processing, Data concerning the employees' earnings and wage are collected for each individual employee, while data on the other costs of the enterprise is collected at the level of the enterprise. Other labour costs are distributed on to the employees on the basis of a distribution formed by regulation and logical reasoning. The total labour costs per employee is calculated as the sum of all wages and the sum of other labour costs divided by the number of employees., Read more about statistical processing, Relevance, The labour costs are used by enterprises to compare costs associated with having people employed, with the costs of other enterprises with similar type of employees. The comparison is often done within a certain branch of economic activity or for a certain type of work. In addition, the statistics can be used to compare labour costs across EU-member countries. , Read more about relevance, Accuracy and reliability, The statistics are based on information about both earnings and other labor costs. Earnings account for the vast majority of total labor costs. The other costs mainly include mandatory contributions. Data is collected from a sample of companies with more than nine employees, and almost all submissions are included in the final statistics, which are only published with final figures, Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published once every year around august. There are normally no delays in publishing the statistics., Read more about timeliness and punctuality, Comparability, Due to changes in the compilation method, comparisons with statistics prior to 2014 are not possible. Owing to the fact that labour costs since 2002 are distributed per employee and not per enterprise as previously done, comparisons with statistics compiled before 2002 is not possible. Also, the statistics on labour costs for 1997-2001 are only to a limited extent comparable to those before 1997, which has to do with the application of a new method starting from 1997., Read more about comparability, Accessibility and clarity, These statistics are published yearly in the StatBank under the subject , Labour costs, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/labour-costs-for-corporations-and-organizations

Documentation of statistics

Documentation of statistics: Benefits during sickness or in connection with childbirth (Discontinued)

Contact info, Labour Market, Social Statistics , Mikkel Zimmermann , +45 51 44 98 37 , MZI@dst.dk , Get documentation of statistics as pdf, Benefits During Sickness or in Connection with Childbirth 2019 , Previous versions, Benefits During Sickness or in Connection with Childbirth 2018, Benefits During Sickness or in Connection with Childbirth 2017, Benefits During Sickness or in Connection with Childbirth 2016, Benefits During Sickness or in Connection with Childbirth, Benefits During Sickness or in Connection with Childbirth 2013, The purpose of Benefits in connection with sickness and childbirth is to illustrate the use of the law on sickness respectively maternity law. The statistics have been compiled since 1995, but in its present form comparable from 2003. From the year 2017, the statistics contain only information about sickness benefits because Udbetaling Danmark has taken a new administrative IT system for maternity allowance in use. Maternity benefits will be an independent statistics from 2020. , Statistical presentation, The sickness and maternity allowance is an annual statement of the number of persons, days and amounts paid in connection with illness or childbirth. From the year 2017 only information for unemployment benefit paid in connection with illness. The calculations are distributed according to the legal basis for the payment of unemployment benefits, age, sex and geography. In addition, figures from the daily allowance for sickness and birth are included in the statistics, Publicly Provided, where the extent of absence due to illness or maternity leave is included in a larger context. , Read more about statistical presentation, Statistical processing, Data comes from the two administrative registers The Administrative Joint-municipal Register for Sickness Benefits and the National Administrative Register for Childbirth Benefits (ended May 2017). When received there are some mechanical monitoring and doublets are removed. When estimating the duration of a case not having a finale date the final date is set to the last day of the year if the case is about sickness benefits. If the case is about childbirth benefits the final date is estimated as the starting date plus the average length measured in days of similar cases having a finale date., Read more about statistical processing, Relevance, The maternity and paternity leave part of the statistic is used by ministries for reasons of gender equality policy and of the unions and the employers' organizations in connection with collective bargaining. The sickness benefit part of the statistic is together with the maternity and paternity leave part section mostly used as an important data element of Analyses of the Danish workforce productivity (economic modeling), Statistics Labour Market Accounts, Statistics Persons receiving public benefits and general absence statistics., Read more about relevance, Accuracy and reliability, The statistics summarize the reports of illness, birth or adoption that have triggered the payment of unemployment benefit. The expectation is that all sickness benefit issues with payment will be reported. Similarly, the expectation is that all cases of payment due to maternity leave, maternity leave or leave due to adoption are reported. Therefore, the statistics can be expected to be reliable. However, there are a number of cases that will only be reported long after the end of the year to which the case relates, why the last year is not fully updated., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published annually in the month of March the year after the reference year. March is chosen as the compromise of current interest and waiting for the last reports of the year to appear. At publishing time the newest data will be less than three months old., Read more about timeliness and punctuality, Comparability, The statistics is influenced by local Danish law. The law of parental leave is unchanged since 2002 and it is possible to compare the figures back to 2003. Concerning sick leave there has been several adjustment making it more difficult to compare over time., Read more about comparability, Accessibility and clarity, In Statistics Bank Denmark the statistics are published s in the tables under the subject , Sickness benefits, and , Maternity benefits, In addition, the statistics include the Statistical Ten Year Overview., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/benefits-during-sickness-or-in-connection-with-childbirth--discontinued-

Documentation of statistics

Documentation of statistics: Stocks of Wholesale

Contact info, Short Term Statistics, Business Statistics , Mathias Dybdahl Bluhme , +45 40 22 56 37 , MDB@dst.dk , Get documentation of statistics as pdf, Stocks of Wholesale 2026 , Previous versions, Stocks of Wholesale 2025, Stocks of Wholesale 2024, Stocks of Manufacturers and Wholesale 2022, Stocks of Manufacturers and Wholesale 2021, Stocks of Manufacturers and Wholesale 2019, Stocks of Manufacturers and Wholesale 2018, Stocks of Manufacturers and Wholesale 2017, Stocks of Manufacturers and Wholesale 2016, Stocks of Manufacturers and Wholesale 2015, Stocks of Manufacturers and Wholesale 2014, The primary purpose of the statistics stocks of wholesale is to deliver timely figures for changes in stocks for use in the quarterly national accounts statistics. The statistics were first published in 1987, but the current form started in 2001., Statistical presentation, The statistics describe quarterly changes in the stocks of manufacturing and whole sale. , Read more about statistical presentation, Statistical processing, Data on stocks by the end of each quarter is collected through a survey of approx. 250 units. The reported data are validated, before they are grossed up from the sample to the population. Selected series are seasonally adjusted., Read more about statistical processing, Relevance, The statistics are important for the quarterly National Accounts. They are also used by ministries, banks, trade associations and others that want to include stock changes in assessments of the short-term economic situation., Read more about relevance, Accuracy and reliability, The sample has not been updated in several years and the method of grossing up very basic. However, it is still believed that the statistics present a good indication of stock changes, as all the largest enterprises are included - and it is to a very large degree the large enterprises that account for the significant changes in stock., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 55 days after the end of the quarter with high punctuality. The statistics are finally after half a year., Read more about timeliness and punctuality, Comparability, Several countries produce statistics on stock changes, but there are no international or European regulations that ensure comparability. , The statistics measure only stock changes. For total stocks, see the , accounts statistics, ., The statistics go back to 1987., Read more about comparability, Accessibility and clarity, The statistics are published in the StatBank under the subject , Wholesale stocks, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/stocks-of-wholesale

Documentation of statistics

Documentation of statistics: Harvest of Cereals etc.

Contact info, Food Industries, Business Statistics , Martin Lundø , +45 51 46 15 12 , MLU@dst.dk , Get documentation of statistics as pdf, Harvest of Cereals etc. 2026 , Previous versions, Harvest of Cereals etc. 2025, Harvest of Cereals etc. 2024, Harvest of Cereals etc. 2023, Harvest of Cereals etc. 2022, Harvest of Cereals etc. 2021, Harvest of Cereals etc. 2020, Harvest of Cereals etc. 2019, Harvest of Cereals etc. 2018, Harvest of Cereals etc. 2017, Harvest of Cereals etc. 2016, Harvest of Cereals etc. 2015, Harvest of Cereals etc. 2014, The statistics illustrate the Danish harvest of grain, rapeseed, legumes and roughage. The statistics are used for research, EU reporting, calculation of GDP and energy and feed accounts. The statistics have been compiled since 1875, but in their current form are comparable from 1971 onwards. The statistics complement other statistics on vegetable production, including Production of fruit and vegetables. , Statistical presentation, The statistics are an annual statement of the Danish harvest of grain, rapeseed, legumes, root vegetables and roughage, calculated in area (1000 hectares), average yield (hkg per hectare) and production (million kg). The statistics are calculated for crops and divided by region., Read more about statistical presentation, Statistical processing, Harvest of cereals, rapeseed and legumes: Data is collected annually from farmers via questionnaires and is debugged based on yield limits and added to the total population. Roughage: Data is collected from SEGES, Danish Sugar Beet Growers, DAKOFO, the Danish Agricultural Agency and Accounting Statistics for Agriculture. Where current data is missing, yields are projected from related crops with known trends., Read more about statistical processing, Relevance, The users are mainly EU and agricultural organizations. The results are included in the agricultural gross factor income. Information on the use of straw for fuel is used, among other things by the DEA., User needs are covered in the User Committee for food statistics. Statistics Denmark is also in regular contact with key users, including the Ministry of Food and research institutions., Read more about relevance, Accuracy and reliability, The response rate for the calculation of the harvest of grains, rapeseed etc. is over 95 per cent. Precision meets EU quality requirements., For roughage, the accuracy must be considered reasonable for average yields, while it is high for area information., The forecast for winter seed areas usually deviates by 5-10 percentage points from the later established cultivated areas., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are usually published without delay to the scheduled date., Preliminary data for the harvest of cereals, rape and pulses are published in late November. Final statement, including results for provinces and regions are published April of the following year, where the coarse fodder harvest alsot is published. End of reference Period: October 1., Harvesting of roughage is published April of the following year. End of reference Period: end of November., The forecast for the following year's winter land released in early December. End of reference Period: October 15, Read more about timeliness and punctuality, Comparability, Similar statistics are produced among EU members and are available from the Eurostat's website. The statistics comply with EU standards., Harvest figures are in principle comparable back to 1900 but with methodological changes along the way. The current calculation method has in principle been used since 1971. The statistics for the new regions of the country are made from 2006. Thus there for 2006 is both a statement of the then counties, and the current regions., Read more about comparability, Accessibility and clarity, The statistics are published in the StatBank under , Crop production, and in a Danish press release., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/harvest-of-cereals-etc-

Documentation of statistics

Documentation of statistics: Disadvantaged children and young people (Discontinued)

Contact info, Personal Finances and Welfare, Social Statistics , Anne Morsing , +45 21 82 17 60 , AEM@dst.dk , Get documentation of statistics as pdf, Disadvantaged children and young people 2018 , Previous versions, The purpose of the statistic on disadvantaged children and young people is to describe relief measures and social well-being of children and young people, who receive assistance according to the current legislation regarding special support to children and young people. The statistics have been compiled since April 1976 , but is in its current form comparable from 2007 and onwards., Statistical presentation, The statistics of disadvantaged children and young people are an annual measurement of number of preventive measures measures, public expenditure in millions DKK to disadvantaged children and young people, disadvantaged children and adolescents in per cent. of the population (0-22 years), as well as exposed children and young people's education, social well-being and abuse and crime. The statistics are grouped by age and gender, preventive measure and geographically in municipalities., Read more about statistical presentation, Statistical processing, Data for these statistics are collected from the 98 municipalities and from the National Board of Appeal etc. Data is gathered in a register containing all persons who at some point during their first 23 years of living, have received support under the laws of the Service Act. The reported information is validated and supplemented with data from Statistics Denmark's population, crime and education statistics., Read more about statistical processing, Relevance, The statistics are used by municipalities, regions, ministries, the media, researchers and private individuals. The statistics used for public planning and administration, research, public debate and education., Read more about relevance, Accuracy and reliability, Differences in systems in municipalities, however, means that municipalities do not record data in a consistent manner. So what's in one municipality are booked on a paragraph - may in another municipality be registered under a different paragraph that is not reported. It is not possible to estimate how big this problem are., Read more about accuracy and reliability, Timeliness and punctuality, The statistics shall be published no later than 1 September of the following calendar year., Read more about timeliness and punctuality, Comparability, The statistics have been published since 1977, but due to large changes in legislation in 1985, 1993 and 2006 statistics are not directly comparable throughout the years., 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 , Disadvantaged children and young people, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/disadvantaged-children-and-young-people--discontinued-

Documentation of statistics

Documentation of statistics: Health Insurance Statistics

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, Health Insurance Statistics 2025 , Previous versions, Health Insurance Statistics 2024, Health Insurance Statistics 2023, Health Insurance Statistics 2022, Health Insurance Statistics 2021, Health Insurance Statistics 2020, Health Insurance Statistics 2019, Health Insurance Statistics 2018, Health Insurance Statistics 2017, Health Insurance Statistics 2016, Health Insurance Statistics 2015, Health Insurance Statistics 2014, Health Insurance Statistics 2013, These statistics focus on the consumption of health care services within the primary public health care sector . The statistics are based on annual extracts from LUNA, which is the IT system used by the regions to settle accounts for health services with the individual providers (e.g., physicians, dentists, etc.). The statistics are comparable from 2006 onwards., Statistical presentation, The statistic cover visits to general practitioners and healthcare providers under the national health insurance. The statistics include the number of contacts, the associated fees, and the number of recipients., Read more about statistical presentation, Statistical processing, Data is received once a year from the Regions. It is assessed which services can be classified as contracts. Individuals with invalid CPR numbers are not included in the statistical tables. Corrections that cannot be associated with a registration in the respective year are deleted. Data is linked with background data from Statistics Denmark., Read more about statistical processing, Relevance, The statistics are used by a wide range of users, including public institutions, researchers, private individuals, and journalists. These users utilize the statistics for various purposes, including public planning, research, and public debate., Read more about relevance, Accuracy and reliability, The data come from administrative registers with full coverage. Each year, Statistics Denmark manually categorizes the services in the public health insurance system as contacts. This affects the calculation of the number of contacts and the number of individuals with contacts., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 5-6 months after the end of the year. Publications are released on time, as stated in the release calendar. , Read more about timeliness and punctuality, Comparability, Sundhedsdatastyrelsen produces statistics on general practice, specialist practice, and other practices. Delimitations and definitions of contacts (or the use of services instead of contacts) can result in statistics that may not appear directly comparable. Typically, any - often minor - differences could be explained by methodology and delimitation. The overall picture is clear, Read more about comparability, Accessibility and clarity, These statistics are published 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 , Consultations of physicians, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/health-insurance-statistics

Documentation of statistics

Documentation of statistics: Disability services for children and young people

Contact info, Personal Finances and Welfare, Social Statistics , Cecilie Katholm , +45 21 45 33 42 , CEK@dst.dk , Get documentation of statistics as pdf, Disability services for children and young people 2025 , Previous versions, Disability services for children and young people 2024, Disability services for children and young people 2023, Disability services for children and young people 2022, The purpose of the statistics on disability compensation services for children and young people is to provide an overview of support measures granted by Denmark’s 98 municipalities to children and young people aged 0–17 with reduced mental or physical functional capacity. The statistics are used for policy development, public debate and research. They are compiled annually and were first published in 2023 with 2022 data. In 2024, the statistics were adapted to the Danish Child Act, while ongoing measures continue under the Social Services Act, cf section 213 of the Child Act., Statistical presentation, The statistics provide an annual overview of disability compensation measures granted to children and young people with reduced physical or mental functional capacity, in accordance with the selected provisions of the Child’s Act and, previously, the Social Services Act., The statistics include information on the number of measures and the number of recipients. Data is presented by age, gender, and type of measure. It is also broken down by region and municipality., The statistics are published in StatBank Denmark and in the publication NYT from Statistics Denmark., Read more about statistical presentation, Statistical processing, Data are collected on an ongoing basis from the municipalities’ systems or via IDEP. The submissions continuously update the existing information in the registers. For each person, cases are linked and updated with the year’s reports. The data are compiled in two longitudinal registers, covering all persons who have received one or more disability compensation measures under the Child Act or the former Social Services Act. Municipalities validate and approve the data annually and after that the aggregated data are supplemented with information from Statistics Denmark’s population register., Read more about statistical processing, Relevance, The statistics are relevant for researchers, journalists, social authorities (including the ministries and municipalities) and other interested in disability services granted to children and youth. , Read more about relevance, Accuracy and reliability, Disability compensation services for children and youth may be granted by various departments within municipalities. Due to the use of different digital systems for data reporting and transmission by municipalities, the data are not systematically and uniformly registered. Municipalities administer cases and provide services differently, which can result in the same case or measure being registered under different sections and subsections of the legislation. The full extent of this practice is not known., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 6 months after the end of the reference period and are released without delay according to the scheduled publication date., Read more about timeliness and punctuality, Comparability, The statistics on disability services are most comparable with data previously collected and published in the statistics on social resources. Direct international comparisons cannot be made due to differences in data collection methods and reporting practices., Read more about comparability, Accessibility and clarity, The statistics are published in , Nyt fra Danmarks Statistik, , a Danish-language press release by Statistics Denmark., Data are also accessible in Statbank Denmark, under the disability section: , Handicapområdet, . For additional details, refer to the , subject page, of the statistics. , It is possible to buy customized solutions through Consulting, or access to Micro-datathrough Danmarks Datavindue., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/disability-services-for-children-and-young-people

Documentation of statistics