Skip to content
Search dst.dk

    Search result

      Showing results 841 - 850 of 1085

      Documentation of statistics: Purchase of prescription drugs

      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, Purchase of prescription drugs 2024 , Previous versions, Sale of prescription drugs (experimental Statistics) 2021, The aim of the statistics "Purchase 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 "Purchase of prescription medicine" 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, the number of prescriptions redeemed and number of redeemed prescriptions per citizen. The statistic covers the period from the 1st of January 2016 to the 31st of December 2024. , 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., The sales are compiled on an annual basis and linked with selected personal information from Statistics Denmark’s registers, including users’ gender, age, geography, and education., Read more about statistical processing, Relevance, The statistics can be used by ministries and other public authorities for ongoing monitoring of the population’s redemption of prescriptions. Researchers can use the statistics as a proxy for morbidity and developments over time, while the general public can use the statistics for general information on pharmaceutical consumption in Denmark., 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. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics will be published in January 2025. Future releases are expected to be published in November., 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 statistics are published in , Nyt from Statictics Denmark, . In StatBank Denmark, the statistics are published under the topic , Consultations of physicians, . , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/purchase-of-prescription-drugs

      Documentation of statistics

      Documentation of statistics: Childcare after school start

      Contact info, Population and Education, Social Statistics , Annemarie Schriver , +45 40 18 43 54 , RIE@dst.dk , Get documentation of statistics as pdf, Childcare after school start 2024 , Previous versions, Childcare after school start 2023, Childcare after school start 2022, Childcare after school start 2021, Childcare after school start 2020, Childcare after school start 2019, Childcare after school start 2018, Childcare after school start 2017, Childcare after school start 2016, The statistics illustrate the number of children in childcare for schoolchildren and the number of employees with pedagogical assignments. The subject of childcare used to cover the entire childcare area for children from the age of 0-18 years, which from 2015 has been divided into childcare pre-school for children (0-5 years) and childcare school for children (6 - to 18 years). The purpose of this statistics is to shed light on childcare for schoolchildren., Statistical presentation, The statistics is an annual inventory of the number of enrolled children and the number of employees with pedagogical assignments in childcare for schoolchildren. The children and young people are measured by municipalities, category of child care, type of ownership and age. The staff are measured by municipalities and positions category. The statistics are published in StatBank Denmark. , Read more about statistical presentation, Statistical processing, Data for this statistics is collected annually from municipalities and payroll systems. It is supplemented by data from the Ministry of Education and electronic reports from self-employed and private institutions. The data collected are validated for large deviations as well as inconsistent information from the different sources and is compared with the numbers from previous years. , Read more about statistical processing, Relevance, There are several different diverse users of the statistics. The Danish Ministries use the statistics to compare the resource allocation to childcare in different municipalities and to develop policies on child care. Interest organizations, such as the National Association of Pedagogues (BUPL), the National Associations of Muncipalities (KL) and The Association of Parents (FOLA) use the statistics to assess the allocation of resources and the service level in the childcare area. Data has been collected on the basis of an agreement between Statistics Denmark and the Ministry of Children and Social Affairs., Read more about relevance, Accuracy and reliability, The inventory contains information from all 98 municipalities. The accuracy is affected by errors in municipal registrations and the assessment institutions on whether the staff is working in childcare or as the teacher in the same school. Some new established institutions can be missing and some can have changed status without Statistics Denmark has been informed. , Read more about accuracy and reliability, Timeliness and punctuality, The inventories are published without delay in relation to the pre-announced release date in the release calendar. The publications take place once a year., Read more about timeliness and punctuality, Comparability, Statistic on childcare can be dated back to 1943. In general it is possible to compare the total number of children and type of institutions from 1994 onwards. However be aware that the day of reference changes from spring to autumn from 2004. Statistics on childcare are published in several countries, but they do not have common guidelines. The subject of child care in the OECD countries is described in the yearly report Education at a Glance., Read more about comparability, Accessibility and clarity, The statistics are published in StatBank Denmark under the subject of , Childcare, . For further information, go tp the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/childcare-after-school-start

      Documentation of statistics

      Documentation of statistics: Quarterly Labour Force

      Contact info, Labour Market, Social Statistics , Pernille Stender , +45 24 92 12 33 , psd@dst.dk , Get documentation of statistics as pdf, Quarterly Labour Force 2024 , Previous versions, Quarterly Labour Force 2019, Quarterly Labour Force 2018, The purpose the Quarterly Labour Market Status (KAS) is to to provide a description of the Danish population's affiliation to the labour market. KAS is an averaging of the populations affiliation to the labour market per quarter and per year and is published annually. KAS covers the hole population from 2017 and on, while it covers the employed part of the population 1st. - 4th. quarter from 2008 to 2017. , Statistical presentation, The Quarterly Labour Market Status (KAS) is an annually individual-based averaging which is calculating the Danish population's affiliation to the labour market per quarter and per year. The statistic is among other things also distributed on information about demography and information about the work place for employees. The statistic is published in StatBank Denmark., Read more about statistical presentation, Statistical processing, The quarterly labour force statistic is based on the Labour Market Account (LMA) which is a longitudinal register. LMA contains information about the populations primary attachment to the labour market on every day of the year. KAS is an average calculation of the population's primary attachment to the labour market broken down by quarters and years. If a person is employed for 91 days in a quarter of 91 days, that person counts as 1 employed. If a person is employed for 30 days, unemployed for 15 days and in education for 46 days, that person counts as 30/91 employed, 15/91 unemployed and 46/91 in education in the quarter. , Read more about statistical processing, Relevance, The quarterly labour force statistic (KAS) is primarily used to structural analysis of the labour market, because the statistic has a very detailed level of information. The statistic is therefore relevant to external as well as internal users and as foundation for analyzing the populations employment over the year. , Read more about relevance, Accuracy and reliability, KAS is an average calculation of the populations primary attachment to the labour market, and the statistic uses the Labour Market Account (LMA) as data source. KAS does not have the same uncertainties as statistics based on surveys. KAS is produced by using a wide range of data sources which are integrated, corrected, and harmonized, and can therefore measure the populations attachment to the labour market significantly better than the single statistics can. , Read more about accuracy and reliability, Timeliness and punctuality, From the publication of figures for the end of November 2018 onwards, the release is carried out in two stages. In the first release, persons outside the labor force are grouped together in a single category. This publication takes place approximately 11 months after the reference point. In the second publication, which occurs approximately 15 months after the reference point, persons outside the labor force are divided into different socioeconomic groups., Read more about timeliness and punctuality, Comparability, The statistics were first published in 2018 with data for employed persons in the first to fourth quarters of 2008-2016. With the exception of a change in the occupational classification in 2010, the statistics for employed persons are comparable throughout the period 2008-2016. From 2017, in addition to persons in employment, the statistics also include the rest of the population with information about their primary attachment to the labour market. KAS is based on administrative registers with national characteristics, which makes it difficult to compare the statistics internationally. , Read more about comparability, Accessibility and clarity, The statistics are published in the StatBank under , Quarterly employed persons, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/quarterly-labour-force

      Documentation of statistics

      Documentation of statistics: Home to work commuting

      Contact info, Labour Market, Social Statistics , Pernille Stender , +45 24 92 12 33 , psd@dst.dk , Get documentation of statistics as pdf, Home to work commuting 2024 , Previous versions, Commuting 2016, The statistics measure commuting between place of residence and workplace within Denmark, including the distances between commuters’ homes and workplaces. Commuting statistics viewed as commuting between municipalities can be compiled from 1980 onwards. The distance between home and workplace was first calculated in 2006. The statistics are comparable in its current form from 2008 onwards., Statistical presentation, The statistics provide an annual, individual-based account of employed persons’ commuting between place of residence and workplace on the last working day of November. The distance between commuters’ home and workplace is also calculated in kilometres (km). The commuting statistics are published the StatBank, where the data can be distributed on place of residence, workplace, commuting distance, gender, industry (DB07), and socio-economic status., Read more about statistical presentation, Statistical processing, The commuting statistic is compiled on the register-based labour force statistic (RAS), which is based on the Labour Market Account (LMA) - a longitudinal register. A comprehensive data validation is done in the production of AMR. RAS is compiled taking a snapshot (on the populations primary attachment to the labour market) on the last working day in November based on LMA. Based on the information about the address of residence and workplace for employed persons the commuting distance is calculated. , Read more about statistical processing, Relevance, The statistic is relevant for users interested in mobility on the labour market and the data foundation makes it possible to connect detailed information for analysis. , Read more about relevance, Accuracy and reliability, The commuting statistics are based on the Register-Based Labour Force Statistics (RAS), which are used to describe the population’s attachment to the labour market. RAS is compiled from a wide range of data sources that are integrated, error-checked, and harmonised within the labour market accounts. RAS is produced as a snapshot at the end of November based LMA. Therefore, RAS does not carry the same level of uncertainty as statistics based on sample surveys., It is also important to be aware that the calculated commuting distance reflects an ideal situation where every person is believed to travel from residence to workplace by the shortest route and by car. , Read more about accuracy and reliability, Timeliness and punctuality, Commuting statistics for commuting between municipalities are published approximately 11 months after the reference date. Commuting distances are published approximately 17 months after the reference date. , Read more about timeliness and punctuality, Comparability, The statistics can be compiled from 1980 and are comparable from 2008 onwards. Historically, there have been various data breaks in the RAS statistics, which are described in the statistical documentation for RAS., Read more about comparability, Accessibility and clarity, In the StatBank the statistics is published can be found under the subject , Home to work commuting, . For further information, go to the , subject page, . , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/home-to-work-commuting

      Documentation of statistics

      Documentation of statistics: Labour Market Account

      Contact info, Labour Market , Pernille Stender , +45 24 92 12 33 , PSD@dst.dk , Get documentation of statistics as pdf, Labour Market Account 2021 , Previous versions, Labour Market Account 2019, Labour Market Account 2016, Labour Market Account 2015, Labour Market Account 2013, Labour Market Account 2014, New Labour Market Account concerning the population´s labour market status have been developed by Statistics Denmark. , The primary purpose of the Labour Market Accounts (LMA) is to provide a complete overview of the population´s labour market status compiled in terms of full-time persons, covering a given period of time or a given point-in-time., Statistical presentation, The Labour Market Account is compiled annually and provides information on the population´s labour market status, where labour-market related activities are given the highest priority. The statistics are compiled in terms of full-time persons. , Data on the population´s labour market status are broken down by socio-economic groups i.e. persons in employment, students, unemployed persons and other persons receiving public benefits, children and young people and other people outside the labour force., Read more about statistical presentation, Statistical processing, The primary statistical data for the LMA is a newly developed register called the AMR-UN (LMA without standardization of hours)., The AMR-UN is composed of administrative data, which are integrated and harmonised in a statistical system. , On the basis of the AMR-UN, the LMA is constructed by means of an hourly standardization of the population´s labour market status, where a person can at maximum contribute with 37 hours per week, corresponding to the existing hourly standard., Read more about statistical processing, Relevance, Over a number of years Statistics Denmark has carried out work on developing the LMA. Several users have indicated their great interest in and expectations with regard to the statistics/register. , Users of the LMA are typical ministries, organisations and research institutes, etc., Read more about relevance, Accuracy and reliability, In the LMA, a wide range of data sources are subjected to data editing and harmonisation in one statistical system. This implies that the LMA can conduct far better analyses of the labour market than the analyses that can be conducted by each individual statistic. At the same time, the LMA constitutes a census of the population and consequently, the statistical uncertainty is reduced compared to statistics compiled on the basis of sample surveys., Against this background, the quality of the statistics is considered to be relatively high. Despite this, there is still some degree of uncertainty linked to the statistics., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 15 months after the reference year., Read more about timeliness and punctuality, Comparability, The statistics cover the period 2008 to 2021, and during this period the development are comparable. , Read more about comparability, Accessibility and clarity, The statistic is published i the statbank , Labour market accounts, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/labour-market-account

      Documentation of statistics

      Documentation of statistics: Employee Trade Unions

      Contact info, Labour Market, Social Statistics , Mikkel Zimmermann , +45 51 44 98 37 , MZI@dst.dk , Get documentation of statistics as pdf, Employee Trade Unions 2024 , Previous versions, Employee Trade Unions 2023, Employee Trade Unions 2022, Employee Trade Unions 2021, Employee Trade Unions 2020, Employee Trade Unions 2019, Employee Trade Unions 2018, Employee Trade Unions 2017, Employee Trade Unions 2016, Employee Trade Unions 2015, Employee Trade Unions 2014, Employee Trade Unions 2013, The purpose of the statistics is to compile aggregated annual statistics showing the number of members of employee organisations with attachment to the labour market. The statistics been complied since 1994, but is in its current form comparable from 2007 and onwards. , Statistical presentation, The statistics provide an overview of the number of members of employee organisations with attachment to the labour market i.e. excl. trainees, retirees, early retirees and self-employed. The statistics are grouped by central organisations/individual organisations and gender. The statistics are published annually and disseminated in the newsletter Nyt fra Danmarks Statistik and in the StatBank., Read more about statistical presentation, Statistical processing, These statistics are based on annual reports from employees' organisations on the number of members attached to the labour market per December 31. Data are typically validated by comparing the current year’s reporting with that of previous years for each organisation. As of the reference date 31 December 2023, total membership figures are also reported for each organisation. These totals are then compared with the reported number of members with labour market affiliation per organisation to ensure consistency., Read more about statistical processing, Relevance, Users of the statistics are typically employee and employer organisations, researchers and the media. No dissatisfaction has been expressed with the statistics., Read more about relevance, Accuracy and reliability, The statistics are based on reports from Central Employee Organisations and other employee organisations. Not all employee unions are able to calculate the precise figures exclusive members not attached to the labor market, i.e.. students, early retirees and pensioners, and self-employed. The data are therefore believed to be a little overestimated for some organisations. On the other hand, there may be small employee organisations that are not included. The data are normally not revised, but if errors are detected they are corrected back in time as far as possible. Although participation in the statistics is voluntary, all employee organisations appear to submit data., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 4-5 months after the reference date. , The statistics are usually published on the scheduled date without delay., Read more about timeliness and punctuality, Comparability, The statistics have been compiled (without data breach) since 2007. Minor breaks in the time series may occur when employee organisations change their reporting methods. For example, the previously observed sharp decline in membership figures for some organisations (mainly those under LO) from 2011 to 2012 was due to the inclusion of members without labour market affiliation in earlier reporting. However, this decline has been addressed as of the publication on 19 May 2025, by revising the reported figures downwards for the period 2007–2011., Read more about comparability, Accessibility and clarity, The statistics is published yearly in a Danish press release (Nyt fra Danmarks Statistik) at the same time as the tables are updated in the StatBank. In the StatBank, the statistics ca be found under the subject , Trade unions, . For further information, go to the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/employee-trade-unions

      Documentation of statistics

      Documentation of statistics: Survey on Living Conditions (SILC)

      Contact info, Labour Market, Social Statistics , Martin Faris Sawaed Nielsen , +45 23 69 90 67 , MFS@dst.dk , Get documentation of statistics as pdf, Survey on Living Conditions (SILC) 2025 , Previous versions, Survey on Living Conditions (SILC) 2024, Survey on Living Conditions (SILC) 2023, Survey on Living Conditions (SILC) 2022, Survey on Living Conditions 2021, Survey on Living Conditions 2020, Survey on Living Conditions 2019, Welfare Indicators 2018, Welfare Indicators 2017, Welfare Indicators 2016, Welfare Indicators 2015, Welfare Indicators 2014, Welfare Indicators 2013, In Denmark EU-SILC (Statistics on income and living conditions) is a combination of survey and register data. The purpose of EU-SILC is to provide a statistics on income, living conditions and risk of social exclusion. Statistics Denmark only disseminate a small part of EU-SILC. Dissemination is by Eurostat primarily., The survey is conducted in all EU member states once a year following the same guidelines. In Denmark the survey has been conducted since 2004., Statistical presentation, SILC consists of data on the composition of the households and their living conditions including questions on how easy it is for the household to make ends meet and the financial burden of the housing costs. Further information is collected on health and position on the labour market etc. These interview questions are then supplemented by a lot of register based information, mainly on incomes, demographics, housing and education. , Read more about statistical presentation, Statistical processing, The subjective data from the interviews are combined with the register based data using the Central personal Register. To adjust for non-response bias, weights are computed and assigned to respondents. This ensures that the survey population match the Danish population on demographics and income levels. , Read more about statistical processing, Relevance, SILC is primarily used by Eurostat and the European Commission. Users of the statistics published in Denmark are mainly the press., Read more about relevance, Accuracy and reliability, Data are based on a survey; hence there is some statistical uncertainty; especially on subgroups. In addition to sampling errors there might be a slight risk of bias. A calibration of the survey is carried out in order to limit any bias and make sure that the sample reflects the population on factors such as demographics and incomes. For the published variables the effect and risk of bias is assumed to be negligible due to the strong correlation with incomes., Read more about accuracy and reliability, Timeliness and punctuality, The data are usually published in December or January following the interview period. There is a risk of delays, due to the many different data sources used to compile SILC - which may not be available in due time., Read more about timeliness and punctuality, Comparability, The published indicators are assumed comparable over time and between countries participating in the EU-SILC., Read more about comparability, Accessibility and clarity, Some main figures are published in Nyt fra Danmarks Statistik and in the statbank. Eurostat publish many figures in the , Eurostat database, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/survey-on-living-conditions--silc-

      Documentation of statistics

      Documentation of statistics: Cash Benefits

      Contact info, Labour Market, Social Statistics , Carsten Bo Nielsen , +45 23 74 60 17 , CAN@dst.dk , Get documentation of statistics as pdf, Cash Benefits 2025 , Previous versions, Cash Benefits 2024, Cash Benefits 2023, Cash Benefits 2021, Cash Benefits 2020, Cash Benefits 2019, Cash Benefits 2018, Cash Benefits 2017, Cash Benefits 2016, Cash Benefits 2015, Cash Benefits 2014, The purpose of the statistics Cash Benefits is to measure the number of recipients (actual figures and seasonally adjusted), whole year persons and the amounts paid to person’s who receive cash benefits and related benefits. The statistics are used to public planning, budgeting in the municipalities, education, research and public debate. These statistics have been compiled since 1983, but is in its current form comparable from 2007 and onwards., Statistical presentation, Cash Benefits statistics are a monthly and yearly measurement of receivers of cash benefits and related benefits stated in number of recipients (actual figures and seasonally adjusted), whole year persons and the amounts paid in 1.000 DKK. The statistics cover persons who are above the age of 16 years old. Furthermore we have a yearly statistics grouped by ancestry, family type and national origin., Read more about statistical presentation, Statistical processing, Administrative data for these statistics are collected monthly from KY. The level and the development of the statistics are compared with the previous three months for every account code according to the authorized account plan. The collected data is processed according to the definition of affected persons. The definition can be found in section 2.04 , Statistical concepts and definitions, ., Read more about statistical processing, Relevance, These statistics are relevant for ministries, municipalities, organizations, education institutions, research institutions, the media and private persons, for analysis, public and private planning etc. The statistical data are also used in other areas within Statistics Denmark, e.g. analysis, production and validation of the statistics , People receiving public benefits, ., Read more about relevance, Accuracy and reliability, The statistics are based on records from KY. The records are based on an authorized account plan made by the Ministry of Health and the Interior. The municipalities have an economic incentive to make valid registrations. Therefore, the overall accuracy is at a high level., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published quarterly and yearly. The quarterly statistics are published 70 days after the end of the reference period while the yearly statistics are published 5-6 months after the reference period. Publications are released on time, as stated in the release calendar., Read more about timeliness and punctuality, Comparability, These statistics have been compiled since 1983 but is in its present form comparable from 2007 and onwards., Comparability over time can be divided in to three periods:, 1983 Quarter 2 - 1993 Quarter 4 - Number of families., 1994 Quarter 1 - 2006 Quarter 4 - Number of persons. , 2007 Quarter 1 - present - Number of persons. New source and counting., It is not possible directly to compare the statistics internationally, as other countries do not have the corresponding benefits and rules., Read more about comparability, Accessibility and clarity, These statistics are published quarterly in a Danish press release, at the same time as the tables are updated in the StatBank. The yearly statistics are only published in the StatBank. In the StatBank, these statistics can be found under the subject , Cash benefits, . For further information, go to the , subject page, ., Read more about accessibility and clarity

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

      Documentation of statistics

      Documentation of statistics: Old Age Pension and Disability Pension

      Contact info, Labour Market, Social Statistics , Morten Steenbjerg Kristensen , +45 20 40 38 73 , MRT@dst.dk , Get documentation of statistics as pdf, Old Age Pension and Disability Pension 2025 Month 01 , Previous versions, Old Age Pension and Disability Pension 2024 Month 10, Old Age Pension and Disability Pension 2024 Month 05, Old Age Pension and Disability Pension 2024 Month 04, Old Age Pension and Disability Pension 2024 Month 03, Old Age Pension and Disability Pension 2023 Month 01, Old Age Pension and Disability Pension 2022 Month 01, Old Age Pension and Disability Pension 2021, Old Age Pension and Disability Pension 2020 Month 01, Old Age Pension and Disability Pension 2019 Month 01, Old Age Pension and Disability Pension 2018 Month 01, Old Age Pension and Disability Pension 2017 Month 01, Old Age Pension and Disability Pension 2016 Month 01, Old Age Pension and Disability Pension 2015 Month 01, Old Age Pension and Disability Pension 2014 Month 01, The purpose of the statistics "Old age and disability pension" are to measure the number of recipients of old age pension or disability pension and the average benefit. The statistics include recipients living abroad. The statistics are consistent from 2009 and onwards. However from 2021 it is available for all months., Statistical presentation, The statistics quarterly describe the number of recipients of old age pension, senior pension, disability pension or early retirement pension, recipients share of the identical population group as well as the average benefit. Old age pension and disability pension are shown separately and are broken down into sex, age, type of benefits, family type and geography. , Read more about statistical presentation, Statistical processing, The statistics are based on complete administrative registers. Data are checked for consistency and at aggregate level compared to data from previous years., Read more about statistical processing, Relevance, The main users are municipalities, ministries and organisations such as Ældre Sagen and ATP. The statistics contain information on the financial living condition of pensioners. Also, data provide the opportunity to estimate the financial effect of changes in legislation. , Read more about relevance, Accuracy and reliability, All recipients of old-age pension and disability pension under the legislation covered, both residents in Denmark and abroad based on Udbetaling Danmarks register. There may be errors and duplicates in the registry that are removed, but it affects less than 0.01 per cent. of the persons to whom money is paid., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published in April, July, November and January. The statistics have always been published as planned., Read more about timeliness and punctuality, Comparability, Changes in legislation including changes in the retirement age from 2004 to 2007 and again from 2019 to 2022 affect the number of pensioners. From 1993 to 1994 the old age pension became taxable and increased significantly. A high degree of consistency with similar figures based on the income register or similar statistics in other Nordic countries is expected., 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 the subject , Old-age pensioners and disability pensioners, . For further information, go to the , subject page, . , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/old-age-pension-and-disability-pension

      Documentation of statistics

      Documentation of statistics: Sickness benefits

      Contact info, Labour Market, Social Statistics , Anna Skovbæk Mortensen , +45 21 77 67 54 , aom@dst.dk , Get documentation of statistics as pdf, Sickness benefits 2024 , Previous versions, The purpose of the Sickness Benefits statistics is to provide information about the costs of sickness benefits and the number of sickness benefit recipients, both in terms of the number of people affected and the number of full-time employees. The statistics have been compiled since 1995, but are in their current form comparable from the year 2020 onwards., Statistical presentation, Sickness benefit is an annual statement of the number of people, benefit days and amounts paid out in connection with illness. Furthermore, the extent of partially resumed work is calculated. The data is broken down by labour market affiliation, age, gender and geography. Furthermore, figures from the Sickness Benefit Statistics are included in the statistics Persons below the state pension age on public benefits, Labour Market Accounts and Absence, where the extent of absence due to illness is put into a larger context., Read more about statistical presentation, Statistical processing, When the data is received, all fields are checked by machine and the number of observations received matches the number of observations sent by KMD. If the data delivery cannot be approved, KMD is contacted in order to correct the delivery., Read more about statistical processing, Relevance, Sickness benefit statistics tell us how many man-years Danish society loses due to long-term illness and how long it will take the long-term sick person to return to the labour market if he or she returns., Read more about relevance, Accuracy and reliability, The statistics summarise the reports of illness that have triggered the payment of unemployment benefits. The expectation is that all sickness benefit cases with payment are reported. Therefore, the statistics can be expected to be accurate in relation to actual payments. However, some cases are not reported until long after the end of the period to which the case relates, which is why the last quarter is not fully updated. The delayed updates result in a revision the following year that is in the order of 0.5 per cent in an upward direction., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published annually at the beginning of April the year after the reference year. The statistics are usually published without delay in relation to the announced date, Read more about timeliness and punctuality, Comparability, The statistics are influenced by Danish legislation. Over the years, the period the employer must pay for in connection with illness has been increased from 14 days to 30 days, and as of December 2012, the right to receive sickness benefits on public holidays was cancelled., 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 , Sickness benefits, . For further information, gp to the , subject page, ., Read more about accessibility and clarity

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

      Documentation of statistics
      Previous
      Next