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    High Level Political Forum

    Each year in July, the United Nations member states meet in New York and focuses on the fulfillment of a selected set of sustainable development goals. The meeting is called the High Level Political Forum (HLPF), and the countries voluntarily report a status of the current situation in their country. Denmark issued a report (VNR - Voluntary National Report) in 2017 and again in 2021. Read the reports and get an overview of the SDGs in focus at HLPF 2024., HLPF goals 2024, Reports, In 2021, Statistics Denmark contributed to the Danish voluntary review of the 17 Sustainable Development Goals. The review contains information about 201 of the 247 indicators for the years 2005-2020. , Read the Danish reporting on the 17 SDGs (pdf),  , Parallel to the Danish voluntary review, to which there is a link above, and at the request of the UN, Statistics Denmark has prepared a publication on the effect of COVID-19 on the progress towards the Sustainable Development Goals. This publication concerns selected areas – mortality, financial support schemes, income and inequality, and CO2 emissions., Read the report on COVID-19 and the SDGs (pdf),  , In 2017 Statistics Denmark contributed to the danish voluntary reporting of the 17 sustainable development goals. The report presents data for 62 of the 244 indicators for the years 2005-2015., Read the Danish reporting from 2017 on the 17 SDGs (pdf),  , Read more about HLPF, More about High Level Political Forum and this years program,  

    https://www.dst.dk/en/Statistik/temaer/SDG/HLPF

    Documentation of statistics: Income Statistics

    Contact info, Labour and Income, Social statistics , Jarl Quitzau and Uwe Pedersen. , +45 39 17 35 94, +45 39 17 34 24 , jaq@dst.dk, uwp@dst.dk , Get documentation of statistics as pdf, Income Statistics 2022 , Previous versions, Income Statistics 2021, Income Statistics 2020, Income Statistics 2019, Income Statistics 2018, Income Statistics 2017, Income Statistics 2016, Income Statistics 2015, Income Statistics 2014, Income Statistics 2013, The purpose of the income statistics - is to provide statistics on the population's incomes and tax payments as well as the distribution of incomes. The statistics are useful in the field of social sciences and form the basis for effective policymaking in areas that affect the economic situation of the households. Statistics Denmark has published statistics on income since 1905 and has coherent time series going back to the 1980’s., Statistical presentation, The income statistics are based on a full-population register. It contains information on annual incomes at both the personal- and family level as well as data on the distribution of income. The income is available both pre- and post taxes and can be split into subcategories such as primary income, transfers, property income and taxes. In the income statistics the population is divided into groups by age, socio-economic status, gender, municipalities (NUTS-3), type of family and into income intervals., Read more about statistical presentation, Statistical processing, Data is collected and published yearly. The primary source is administrative data from the Danish tax authorities. Using secondary sources from the municipalities and unemployment funds the incomes are subdivided into more detailed types of income. Finally other registers in Statistics Denmark, such as the population register, provide background information., In case of inconsistencies between data sources on the total income amounts, the data are fitted to match the level of the tax authorities, which are assumed to be correct., Read more about statistical processing, Relevance, The primary users of the income statistics are ministries, municipalities, research institutes and the media. An annual meeting with some of the users of the main welfare statistics is held in Statistics Denmark. On a daily basis users call with questions related to the statistics or comment on our publications on social media. Through these interactions with the users we continually assess the need for improvements of the statistics., Read more about relevance, Accuracy and reliability, The quality is in general considered to be very good for the income types included in the statistics as data have been validated by the tax authorities. Undeclared incomes, winnings in lotteries etc. may result in a mismatch between actual and registered income., As the income statistics are based on full-population registers, there are no sampling errors., In 2022 data is extracted in August. Thus revisions after this date will not be taken into account in the income statistics., Read more about accuracy and reliability, Timeliness and punctuality, Most tables on income statistics are published in September, nine months after the end of the income reference year along with the annual newsletter. Socio-economic status, imputed rent, disposable income and income distribution indicators are published in November. In 2019 and 2020 the publication have been moved until November., Apart from the COVID-19 delays, the statistics have always been published as planned., Read more about timeliness and punctuality, Comparability, Especially the extraordinary payout of 2 weeks worth of wages as part of a COVID 19-relief package affects the income levels in 2021. COVID-19 also makes indicators on relative poverty - designed for measuring social exclusion difficult to interpret. Due to the high inflation rate of 7.7 percent in 2022, the income statistics 2022 is affected due to special payouts of governmental inflation aid., Income statistics are quite consistent over time if you use the coherent time series on our website. The statistics were last revised in 2013. Data dating back to 1987 has been revised. A change in the vacation law has caused differences between national accounts and income statistics in the years 2020-2021. Eurostat and OECD are the recommended sources for making international comparisons., Read more about comparability, Accessibility and clarity, The statistics are published on our , website, , in an annual , newsletter, and via the , statbank, ., Furthermore there are tables on income in the publication , Statistisk Tiårsoversigt, (Danish only), Read more about accessibility and clarity

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

    Documentation of statistics

    Data from other statistical authorities

    Denmark's Study Survey by the Ministry of Education and Research, Statistics Denmark has entered into an agreement with the Ministry of Education and Research regarding access to survey data from Denmark's Study Survey (formerly Uddannelseszoom and Læringsbarometer), made available to researchers through Statistics Denmark's microdata schemes., The data will be released as the UFM_STUD dataset for the reference years 2018 and 2020, and subsequently every other odd-numbered reference year., The content of variables in the dataset can be found on the Research Services website under , Register and Variable Overviews, and is further described in the documentation below., Questionnaires, Spoergeskema-Studerende-2021-(pdf), Spoergeskema-Studerende-2020-(pdf), Spoergeskema-Studerende-2018-(pdf), Codebook, Kodebog-(xlxs), Method notes, Metodenotat-Studerende-2021-(pdf), Metodenotat-Studerende-2020-(pdf), Metodenotat-Studerende-2018-(pdf), SU Data (Student Aid data) from the Ministry of Education and Research, Statistics Denmark has entered into an agreement with the Ministry of Education and Research regarding access to SU data available to researchers through Statistics Denmark's microdata schemes., The data will be released as the foundational dataset UFM_SU for the reference year 1991 and onwards., The content of variables in the dataset can be viewed on the Research Services website under , Register and Variable Overviews, and is , further described in the documentation below:, SU-tildeling 1991 og frem, UDD-koder, Assistance package data from the Danish Business Authority, Since the end of May 2020, it has been possible to access assistance package data in the form of wage compensation data in the Research Services basic database., Two datasets concerning wage compensation, The wage compensation data can be found in two separate registers: LONKOMP - Wage Compensation for Employees and KOMPSEL - Compensation for Self-Employed., The data has been updated weekly in the basic database after receiving assistance package data from the Danish Business Authority. On September 4th, 2021, the data was published for the last week of the assistance packages, which expired at the end of August 2021. In the subsequent weeks, the data has been continuously updated as the Danish Business Authority processed the applications. Weekly updates took place until week 18 of 2022, after which deliveries from the Danish Business Authority occur more periodically, thus covering current and future updates in the basic database., A dataset regarding fixed expenses, Data for the third assistance package regarding fixed expenses can be accessed in the register KOMPFAST - Compensation for Fixed Expenses. Data has been available since the end of September 2021. Weekly updates took place until week 18 of 2022, after which deliveries from the Danish Business Authority occur more periodically, thus covering current and future updates in the basic database., Read more about the wage compensation and fixed expenses scheme,  , The content of variables in the registers can be seen in our , research variable lists. , Rent Register, Statistics Denmark has entered into an agreement with the National Building Foundation to provide the rent register for authorized customers in Research Services and researchers. The rent register was established in 2013 and is based on submissions from housing organizations in the social housing sector., The rent register includes information about, Housing organizations, Housing departments, Social housing at the lease level, Huslejeregister - Feltbeskrivelser (pdf), Regnskabsdata - Feltbeskrivelser (pdf), Stamdata - Feltbeskrivelser (pdf), Inquiries about access to data can be directed to Sigrid Krogstrup Jensen, , SIJ@dst.dk, ., DREAM Database, The Employment Ministry's longitudinal database DREAM is managed by the Labour Market Authority. The database contains employment information and other fundamental personal data, and is further described in the documentation below., Statistics Denmark has entered into an agreement with the Labour Market Authority for access to DREAM under the researcher scheme. Research projects that intend to use data from DREAM can gain access through Research Services at Statistics Denmark., DREAM-vejledning version 47, Account-specific data from the Tax Authority, Statistics Denmark has entered into an agreement with the Tax Authority for access to account-specific data IRTE, URTE, PANT for individuals and businesses, available to researchers through Statistics Denmark's microdata schemes., This agreement is part of a research infrastructure project called DRDS, providing researchers access to a range of newer data. DRDS is a collaboration between Copenhagen Business School, Statistics Denmark, University of Copenhagen, Roskilde University, University of Southern Denmark, Aalborg University, the National Centre for Social Research and Analysis, Danmarks Nationalbank, the Secretariat of the Economic Council, and the Rockwool Foundation Research Unit., The data contains information about:, Deposit rates (IRTE) for individuals IRTEPERS 2003-2021, Deposit rates (IRTE) for businesses IRTEVIRK 2003-2019, Loan rates (URTE) for individuals URTEPERS 2003-2021, Loan rates (URTE) for businesses URTEVIRK 2003-2019, Mortgages (PANT) for individuals PANTPERS 2003-2021, Mortgages (PANT) for businesses PANTVIRK 2003-2019, The data is described in more detail in the documentation below:, Variabelliste - IRTE URTE og PANT.pdf, Data from the Danish Health Data Authority, The Danish Health Data Authority's Research Service does not enter into agreements for data disclosure to projects at Statistics Denmark without the approval of Statistics Denmark. Therefore, the Danish Health Data Authority will request documentation in the form of an approved project proposal before granting approval to the project., When applying to receive data from the Danish Health Data Authority for a new project at Statistics Denmark, the Danish Health Data Authority's Research Service will require documentation that the project has been established and approved by Statistics Denmark. Documentation is submitted in the form of the approved project proposal, which you will receive as a PDF file from Statistics Denmark., You can create the project proposal with the Danish Health Data Authority while waiting for approval from Statistics Denmark. In principle, your application will be put on hold until the Danish Health Data Authority has received an approved project proposal. However, it is possible to arrange for them to continue processing the application. As a researcher, you should be aware that the Danish Health Data Authority emphasizes that the time spent on processing will be invoiced, even if the project is not approved by Statistics Denmark., Medicine Database (, Lægemiddeldatabasen), Statistics Denmark has entered into an agreement with the Danish Health Data Authority for access to pharmaceutical data under Statistics Denmark's researcher scheme. For a detailed description of the data content, refer to the , documentation on the Danish Health Data Authority's website., If you wish to access pharmaceutical data for your project at Statistics Denmark, you must apply for access with the Danish Health Data Authority. The application is done online, and along with your data request, you must submit a project description, an extraction description, and a completed order form., On the Research Services website, under the section , Before You Apply,, you will find a , guide on how to describe your project and data, . , When applying for access to pharmaceutical data, there are specific requirements for what your application should include. You can find a, guide on how to apply for access to pharmaceutical data at Statistics Denmark , on the Research Services website., Once you have all of the above in place, you can apply for data for Statistics Denmark via the , online application , form , on the Research Services website., National Patient Register (LPR), Since 1977, the Danish Health Data Authority’s National Patient Register has functioned as the central registry for information about hospital patients. Statistics Denmark provides LPR data for researchers. In Statistics Denmark, the LPR contains various information about examinations and treatments for all contacts with the Danish hospital system, including hospitalization and ambulant visits. , The reporting to the National Patient Register version 2 (LPR2) transitioned to a new data format (LPR3) between January 1, 2019, and March 3, 2019. The transition occurred gradually from LPR2 to LPR3, and therefore, there are reports in both LPR2 and LPR3 during this period. After March 3, 2019, reporting in LPR2 was closed, and all reports after that date are registered in LPR3. , For more details about the transition and when individual hospitals and clinics switched to reporting in LPR3, please refer to , LPR 2019 Data Quality Report., LPR2, Research Service has LPR2 data from 1977 to 2019, The LPR is a dynamic register that has been continuously updated, even in retrospect. We have the updated versions of all LPR tables for the years 2005-2019., For hospitalizations in the somatic departments, the registry dates back to 1977. Emergency room and ambulant contacts have been registered since 1994. Hospitalizations in the psychiatric departments have been registered since 1995. Hospitalizations in private hospitals have been registered since 2002., For documentation, refer to eSundhed.dk: , Documentation of LPR2, For information about data and data breaches, Data fra andre og databrud i LPR2 , , see below: , Rates, DRG and DAGS are not part of the LPR, but they can be linked to each individual admission and contact through the admission ID (recnum). FSE has rates from 2002 to 2018., Unfinished Hospitalization/Ambulant Contacts (UAF), The unfinished ambulant hospitalizations are found in the LPR available to Statistics Denmark for the years 1994 and onwards. , Cleaning of LPR, The Danish Health Data Authority conducted a cleaning of the LPR until 2009, which included, among other things: , - All departments with specialty codes in the range 60-69 were sorted out., - All healthy companions, DZ763, were sorted out., - Certain departments were sorted out, such as departments with names like 'Research Department'., Other Data Breaches, There may be other data breaches that we are not aware of., LPR3_F (Research-Oriented LPR3 Data Model), Research Service has LPR3_F data from SDS for the years 2019-2021, which can be ordered. We expect that LPR3_F data for the years 2019-2022 will be available for ordering from early November 2023. The registers are named starting with LPR_F_, and their details can be found in the, register overview, Please consult the, Health Data Authority's guide to LPR3_F, before placing a data order. , On the Health Data Authority's website, you can find more information about LPR, including the transition to LPR3_F and data breaches., Medical Birth register / Medicinsk Fødselsregister (MFR)   , The Medical Birth Register (MFR) contains information about all hospital and home births in Denmark., Documentation of MFR can be found on the Danish Health Data Authority's website., COVID-19 Test and Vaccine Data from the State Serum Institute (SSI), Statistics Denmark has entered an agreement with the State Serum Institute to provide COVID-19 test and vaccine data for researchers under Statistics Denmark's microdata scheme., COVID-19 test data, includes individuals who have undergone a COVID-19 PCR test and/or antigen test (rapid test) from February 2020 onwards at microbiological departments, TestCenter Denmark, private COVID-19 test providers, or municipalities, schools, and educational institutions that report to MiBa (test results for all samples) through various solutions and technical levels., COVID-19 vaccine data, includes citizens vaccinated with a COVID-19 vaccine, who have a CPR number, are alive, and have an active address in Denmark on the extraction date, as well as individuals who were alive and had an active address in Denmark as of December 27, 2020 (Vaccination Data)., You can find the link to the SSI documentation for COVID-19 data here:, Available data (ssi.dk), The Trans-Regional Register for the Øresund Region, In connection with the establishment of Øresund statistics and the Øresund database, a so-called trans-regional register has been established, linking all commuting and wage data across the Øresund region from 2001 to 2015. This Research Register was established in connection with the establishment of the ØRESTAT statistics bank for the Øresund region., The trans-regional register is structured as three separate datasets that can be combined through a common serial number system., Dataset 1 contains migration data across the Øresund., Dataset 2 is a corresponding commuting dataset, where commuting is defined according to similar rules as in the national commuting statistics, i.e., the main activity should be on the other side of the Øresund., Dataset 3 includes all individuals who have earned wages across the Øresund, regardless of whether they are categorized as regular commuters., Please note that the register is no longer being updated, and the latest data is from 2015., Inquiries about access to the register can be directed to , forskningsservice@dst.dk, . , Lovmodellen (The legal model), The Office for Legal Model and Allocation (Ministry of Finance) and the Research Service (Statistics Denmark) have agreed that authorized customers in the Research Service can access the data associated with their model populations, as provided by the Legal Model. Access to this data can be granted through projects in Statistics Denmark's Research Service after prior written approval from the Office for Legal Model and Allocation (Ministry of Finance). Read more here: , Lovmodellen - Beskrivelse og kontaktoplysninger, Handicnota, The HANDICNOTA registry includes individuals who are dyslexic, visually impaired, or have another disability that prevents them from reading regular printed text., Data originates from NOTA. The registry only includes the disability with which a member is registered with NOTA, i.e., either dyslexia, visual impairment, or another disability. In addition to the three disability categories, the registry includes a fourth group of instructors, who are required to renew their NOTA membership annually, unlike the other three groups., NOTA is authorized to provide books to the groups, as per Law No. 719, Act amending the Copyright Act, § 17a., Documentation for the registry can be found here: , Prerequisites for using Handicnota, Future Study of Ældre Sagen (Danish organization for Seniors), Statistics Denmark has entered an agreement with Ældre Sagen to provide access to survey data from the Future Study for researchers under Statistics Denmark's microdata schemes., Data will be released as the register "FREMTIDSSTUDIET" - A study of the lives, expectations, and desires of 50-89-year-old Danes for the reference years 2010, 2015, and 2021, and subsequently every fifth reference year from 2021., The variable content in the register can be found on the Research Service's website , here, and is further described in the documentation below., The presentation of 2021 data includes background variables added by Ældre Sagen in connection with the execution of the Future Study (as of October 1, 2021). The variables cover gender, age, highest completed education, socioeconomic status, equivalent disposable family income, origin, municipality, and family composition calculated in DST Survey., The added background variables are presented in the "FREMTIDSSTUDIET" register and remain unchanged in the register itself, even though corrections to FSE basic data are retroactively applied to affected areas. Therefore, updated background variables require additional acquisition through FSE., About the Future Study, The Future Study is a longitudinal study aimed at depicting a picture of the current and future lives of older individuals and their general life situation, including their desires, needs, expectations, and concerns for the future., In 2021, 4,990 Danes aged 50 to 89 have answered various questions within the themes of quality of life, age, health, housing, transportation, social network, daily assistance, financial assistance, loneliness, home care, dignity, welfare and society, volunteering, job market, economy, inheritance, age-related discrimination, and technology., The Future Study has been previously conducted in 2010 and 2015. Data for the Future Study for all three years have been collected by Statistics Denmark via the internet and telephone., With the Future Study, it is possible to investigate:, Differences in 2021: What do Danes aged 50 to 89 respond in 2021, and are there differences in responses between men and women and different age groups?, Generational differences: How do specific age groups respond in 2021, e.g., the 50-54-year-olds, compared to what the 50-54-year-olds responded in 2010 and 2015?, Changes over time for the same individuals: What do the individuals who participated in 2010 and 2015 and have now grown older respond?, While the sample in the Future Study back in 2010 consisted of four age groups: 50-54 years, 60-64 years, 70-74 years, and 80-84 years, the sample in 2021, as in 2015, covers all eight five-year age groups within the range of 50-89 years., The majority of questions from the Future Study in 2010 and 2015 are present in 2021. Additionally, questions and answer options have been continuously adjusted to societal developments, and some questions from before have been omitted while new ones have been introduced. Therefore, it is not possible to compare all questions over time., Learn more about the Future Study and the methodology behind it in the documentation below or on the Ældre Sagen , website , here,  ,  , Survey, Bilag 1_FTS2010_survey, Bilag 2_FTS2015_survey, Bilag 3_FTS2021_survey,  , Codebook , Bilag 4_FTS2010_kodebog, Bilag 5_FTS2015_kodebog, Bilag 6_FTS2021_kodebog,  , Method notes, population and sample overview, Bilag 7_FTS2010_metodedokumentation, (inkl stik_pop), Bilag 8_FTS2015_metodedokumentation, Bilag 9_FST2021_metodedokumentation, Bilag 10_FTS2015_populationsoversigt, Bilag 11_FTS2021_populationsoversigt, Bilag 12_FTS2015_stikprøveoversigt, Bilag 13_FST2021_stikprøveoversigt, Note that there is no separate population and sample overview for 2010, but it is included in the actual method documentation., Additional documentation (can also be found on the Ældre Sagen website):, Bilag 14_FTS2021_temaoversigt_survey, Bilag 15_FTS2010_2015_2021_dataark, Bilag 16_FTS2010_2015_2021_surveyoversigt

    https://www.dst.dk/en/TilSalg/Forskningsservice/Data/Andre_Styrelser

    Documentation of statistics: Children and young persons placed outside own home

    Contact info, Welfare and Health, Social Statistics. , Bente Ottosen , +45 3917 3102 , bbo@dst.dk , Get documentation of statistics as pdf, Children and young persons placed outside own home 2023 , Previous versions, Children and young persons placed outside own home 2022, Children and young adults in out-of-home care 2021, Children and young persons placed outside own home 2020, Children and young persons placed outside own home 2019, Children and young persons placed outside own home 2018, The statistics provide yearly estimates of the municipalities’ initiated placements and placements of children and young persons in out-of-home care. The figures are classified by provinces, municipalities, type of measure, place of accommodation, cause of placement in out-of-home care, cause of change in the placement of out-of-home care, sex, and age groups. They are published in StatBank Denmark and in a Danish-language article by Statistics Denmark in The New York Times., The municipalities have not indicated that data regarding placements of children in out-of-home care for the period 2020-2021 are affected by the special circumstances arising from the COVID-19 pandemic., Statistical presentation, The statistics contain yearly estimates of the municipalities’ initiated placements and placements of children and young persons in out-of-home care. The figures are classified by provinces, municipalities, type of measure, place of accommodation, cause of placement in out-of-home care, cause of change in the placement of out-of-home care, sex, and age groups. The statistics are published in StatBank Denmark and in a NYT article authored in Danish by Statistics Denmark., The municipalities have not indicated that data regarding placements of children in out-of-home care for the period 2020-2021 are affected by the special circumstances that arose due to the COVID-19 pandemic., Read more about statistical presentation, Statistical processing, Data for these statistics are continually collected from the administrative municipalities. The collected data is then subjected to a meticulous validation process in cooperation with the municipalities. All of the municipalities receive feedback sheets, representing the scope and nature of the reported data, which need to be approved by the municipalities. Data is subsequently gathered in an incident register which forms the basis for a creation of a progress register and a status/stock register., Read more about statistical processing, Relevance, The statistics are used by municipalities, provinces, ministries, the media, researchers, private individuals and organizations. The statistics are used for public planning and administration, research, public debate and education., Read more about relevance, Accuracy and reliability, Data is reported from the municipalities' administrative systems, which are used for case processing. There may be errors or omissions in the reports, or reports may be missing altogether. The municipalities approve an annual status prior to publication of the statistics. In this context, municipalities are requested to correct any errors and deficiencies., Changes in placements are generally underestimated because the changes are only indirectly approved by the municipalities based on the reported placement status., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published 6 months after the end of the reference period. The statistics are published without delay according to the scheduled release date. , Read more about timeliness and punctuality, Comparability, The statistics are comparable from 2011 and onwards., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release, , Nyt fra Danmarks Statistik, . The figures are also published in Statbank Denmark in , Disadvantaged children and young people, Further information can be found at the webpage of the statistics , Udsatte børn og unge, or by contacting Statistics Denmark directly., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/children-and-young-persons-placed-outside-own-home

    Documentation of statistics