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    Documentation of statistics: A-Income Statistics (income subject to provisional tax)

    Contact info, Labour Market, Social Statistics , Uwe Pedersen , +45 23 72 65 69 , UWP@dst.dk , Get documentation of statistics as pdf, A-Income Statistics (income subject to provisional tax) 2024 , Previous versions, A-Income Statistics (income subject to provisional tax) 2023, A-Income Statistics (income subject to provisional tax) 2022, A-Income Statistics (income subject to provisional tax) 2021, A-Income Statistics (income subject to provisional tax) 2020, A-Income Statistics (income subject to provisional tax) 2019, A-Income Statistics (income subject to provisional tax) 2018, A-Income Statistics (income subject to provisional tax) 2017, A-Income Statistics (income subject to provisional tax) 2016, A-Income Statistics (income subject to provisional tax) 2015, A-Income Statistics (income subject to provisional tax) 2015, A-Income Statistics (income subject to provisional tax) 2013, The purpose of the Provisional Income Statistics is to provide a more up to date picture of the compilation of income than is possible, by means of the final Personal Income Statistics. Compilation of the final Personal Income Statistics have to wait until the tax assessment process has reached a sufficiently acceptable level concerning the A-income (wages, salaries, unemployment benefits and social pensions etc.) and other income, e.g. entrepreneurial income. This does not apply to the Provisional Income Statistics., Statistical presentation, The a-income statistics mainly comprise of wages and transfers. It illustrates the level and composition of the a-income for the tax year and can be split into wages and various types of transfer incomes. The a-income amounts to 90 per cent of the total gross income. The statistics are based on the provisional tax statement for the income. The data is acquired four months after the end of the tax year. The final income statistics is based on a-incomes acquired eight month after the end of the tax year. The final statistics are based on the Statistics Denmark's Register of Incomes Statistics., Read more about statistical presentation, Statistical processing, The type of income in the e-income register is adjusted in-case of inconsistencies between the filing-entity and the type of income., The total transfers are grouped into the different type of transfers by merging the e-income register with the register of people receiving public benefits., Data on specifically 2020 and 2021 are supplemented with data from the Danish Business Authority on employer´s compensation on wages and salaries paid to staff, not able to work during the lockdown, caused by the COVID-19 pandemic., Read more about statistical processing, Relevance, One or two annual meeting with some of the main users of the income and wealth statistics is held in Statistics Denmark. On a daily to weekly basis users call with questions related to the statistics. Trough these interactions with the users we assess the need for improvements of the statistics., Read more about relevance, Accuracy and reliability, All persons receiving unemployment income is included in the statistics., As we are dealing with a provisional data based on relatively early data from the e-income Register the data are subject to certain margins of inaccuracy. The data may be revised by the Tax authorities after the date on which we extract the information from the Register. This applies in particular to the salary information slips containing wages and salaries. However, the uncertainty caused by the revisions linked to the income data is marginal., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 4 to 5 months after the reference period. The statistics are published as planned., Read more about timeliness and punctuality, Comparability, Changing several social benefits from net sum into gross sum (taxable) in connection with the tax reform of 1st January 1994 has caused a minor break in the time series from 1993 to 1994. , There are no similar statistics internationally., Read more about comparability, Accessibility and clarity, The statistics are published on our , website, , in an annual , newsletter, and via the Statistikbanken)., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/a-income-statistics--income-subject-to-provisional-tax-

    Documentation of statistics

    Documentation of statistics: Income Statistics

    Contact info, Labour Market, Social Statistics , Uwe Pedersen , +45 23 72 65 69 , UWP@dst.dk , Get documentation of statistics as pdf, Income Statistics 2024 , Previous versions, Income Statistics 2023, Income Statistics 2022, 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, Documents associated with the documentation, Imputering af huslejenedsættelser i 2024 (pdf) (in Danish only), 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 2024 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. , The statistics have usually been published as planned., Read more about timeliness and punctuality, Comparability, The statistics are comparable over time, but special circumstances affect individual years. COVID-19 and aid packages are important in 2020-2021. In 2022, one-off payments due to inflation are included, and in 2024, 1 month's free rent for certain rental housing units is included as housing benefit. Holiday funds give differences compared to the national accounts 2018-2021. The statistics were revised in 2013 with retroactive effect to 1987. Internationally, Eurostat and OECD are the recommended sources, but income concepts vary., 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 , Income and earnings, . For further information, go to the , subject page, ., Read more about accessibility and clarity

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

    Documentation of statistics

    Publication: The business sector and the sustainable development goals - Denmark and neighbouring countries 2021

    In this publication the development of the Business sector in relation to selected SDG-goals in Denmark and 7 neighbouring countries are shown. Existing statistics in Eurostat, The European Union Statistical office, are used in the analyses. The developments on economic, environmental and social issues are followed for 14 groups of industries across country., Positive developments in all 8 countries in relation to the SDGs – only minor change, however, as regards gender equality in occupation and earnings, The results, mainly from 2010 to 2019, shows a positive trend in the Business sector in the contribution to fulfilment of the Sustainable Development Goals. In particular, this is the case in relation to emission of climate gasses, where all countries show improvement in the relation between emission and value added. This has, however, also been caused by domestic or European policies on the matter., Connected to the comparisons of the development in the indicators across country, also the differences in business structure are presented together with the actual size of indicators in 2010. The baseline and the room for change is necessary knowledge when assessing the development since. , Expenditures for R&D, relevant information in relation to change to improved sustainability in the Business sector has in general increased since 2010, as well in actual prices as related to the value added in the sector. Poland shows the highest increase, however from a low level, why a decrease in the indicator is the case for Denmark and Finland., A significant decrease in emission of climate gasses from business activities can been seen, as well in actual figures at related to value added. United Kingdom shows larges decrease independent of indicator, while Poland and Netherlands shows only low decrease. The overall figures from Norway is deviating from the general trend, maybe caused by insecurity in emission figures., The gender composition of the employees by type of industry show largely similar pictures in the countries, but also a slight tendency towards more equal composition. Germany and Poland has the highest share of women in the sector, while Norway and Sweden has the lowest share., Regarding gender pay gap, only a rough comparison for the business sector is possible. The figures, however, indicates that Germany and United Kingdom have the largest gender pay gap, while Poland, Sweden and Norway are more close to a situation where women get equal pay for equal  work., Exact references to the Eurostat database tables can be found in the publication. This makes it possible for everyone to make further calculations, for others countries or types of industry and also for the coming years. For 2020 and 2021, however, impact from COVID-19 has to be taken into account in the analyses., Corrections:, Page 28: Greenhouse gases emission, Get as pdf, The business sector and the sustainable development goals - Denmark and neighbouring countries, Colophone, The business sector and the sustainable development goals - Denmark and neighbouring countries, Business, ISBN pdf: 978-87-501-2407-8, Released: 25 May 2022 08:00, No of pages: 37, Contact info:, Ole Olsen, Phone: +45 29 77 14 98

    Publication

    Documentation of statistics: Manufacturers’ Sales of Goods (quarterly)

    Contact info, Short Term Statistics, Business Statistics , Morten Skovrider Kollerup , +45 24 52 61 68 , MSL@dst.dk , Get documentation of statistics as pdf, Manufacturers Sales of Goods (quarterly) 2024 Quarter 4 , Previous versions, Manufacturers’ Sales of Goods (quarterly) 2024 Quarter 3, Manufacturers’ Sales of Goods (quarterly) 2024 Quarter 2, Manufacturers’ Sales of Goods (quarterly) 2024 Quarter 1, Manufacturers’ Sales of Goods (quarterly) 2023 Quarter 4, Manufacturers’ Sales of Goods (quarterly) 2023 Quarter 3, Manufacturers’ Sales of Goods (quarterly) 2023 Quarter 2, Manufacturers’ Sales of Goods (quarterly) 2023 Quarter 1, Manufacturers’ Sales of Goods (quarterly) 2022 Quarter 4, Manufacturers’ Sales of Goods (quarterly) 2022 Quarter 3, Manufacturers’ Sales of Goods (quarterly) 2022 Quarter 2, Manufacturers’ Sales of Goods (quarterly) 2022 Quarter 1, Manufacturers’ Sales of Goods (quarterly) 2021 Quarter 4, Manufacturers’ Sales of Goods (quarterly) 2021 Quarter 3, Manufacturers’ Sales of Goods (quarterly) 2021 Quarter 2, Manufacturers’ Sales of Goods (quarterly) 2021 Quarter 1, Manufacturers’ Sales of Goods (quarterly) 2020 Quarter 4, Manufacturers’ Sales of Goods (quarterly) 2020 Quarter 3, Manufacturers’ Sales of Goods (quarterly) 2020 Quarter 2, Manufacturers’ Sales of Goods (quarterly) 2020 Quarter 1, Manufacturers’ Sales of Goods (quarterly) 2019 Quarter 4, Manufacturers’ Sales of Goods (quarterly) 2019 Quarter 3, Manufacturers’ Sales of Goods 2019 Quarter 2, Manufacturers’ Sales of Goods 2019 Quarter 1, Manufacturers’ Sales of Goods 2018 Quarter 4, Manufacturers’ Sales of Goods 2018 Quarter 3, Manufacturers’ Sales of Goods 2018 Quarter 2, Manufacturers’ Sales of Goods 2018 Quarter 1, Manufacturers’ Sales of Goods 2017 Quarter 4, Manufacturers’ Sales of Goods 2017 Quarter 3, Manufacturers’ Sales of Goods 2017 Quarter 2, Manufacturers’ Sales of Goods 2017 Quarter 1, Manufacturers’ Sales of Goods 2016 Quarter 4, Manufacturers’ Sales of Goods 2016 Quarter 3, Manufacturers’ Sales of Goods 2016 Quarter 2, Manufacturers’ Sales of Goods 2016 Quarter 1, Manufacturers’ Sales of Goods 2015 Quarter 4, Manufacturers’ Sales of Goods 2015 Quarter 3, Manufacturers’ Sales of Goods 2015 Quarter 2, Manufacturers’ Sales of Goods 2015 Quarter 1, Manufacturers’ Sales of Goods 2014 Quarter 4, Manufacturers’ Sales of Goods 2014 Quarter 1, The purpose of the statistics is to describe the Danish industrial production by detailed type of goods. Manufacturers' sales of goods is the source for Danish Prodcom statistics, regulated by and submitted to Eurostat., Statistical presentation, The statistics describe manufacturers' sales of goods measured in terms of volume and value by detailed types of goods according to the international classifications CN and SITC. In addition to this, total sales (turnover) are distributed by industries (NACE groups)., The data collecting for the statistics for 2020 has partly been affected by the COVID-19 situation. However, it is assessed that the overall statistics has not been affected in any great extent., Since 2020, Statistics Denmark has carried out extensive work to ensure the quality of the reports from the largest companies. This has led to some audits for the years 2018 to 2022., Read more about statistical presentation, Statistical processing, Data are collected through a quarterly survey of all enterprises in manufacturing (including mining and quarrying) with at least 10 employees or a yearly turnover over 100 mio. dkk, approx. 3,000 units. Reported data are validated, by checking against previous reports as well as against other sources. Data are then aggregated by industrial groupings as well as commodity groups. Series with seasonality are seasonally adjusted., Read more about statistical processing, Relevance, The statistics are in high demand from many different users, including the National Accounts, ministries, trade associations, market analysts, researchers, consultants and businesses., Read more about relevance, Accuracy and reliability, The main non-sampling error is the measurement error concerning classification at the most detailed CN level, as respondents do not always report sales according to the correct codes. Furthermore, data on quantities are generally less reliable than those on values, as some respondents estimate quantities and others do not answer, implying that estimations must be made in the statistical production process., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published two months after the end of the reference quarter. Publications are released on time, as stated in the release calendar., Read more about timeliness and punctuality, Comparability, In its present form and as available in StatBank Denmark, the statistics are comparable since 1995, but the statistics have been produced in some form since 1905. The Prodcom-version of the statistics can be compared to Prodcom statistics of other EU countries. The statistics can be compared to Foreign Trade in Goods to create statistics on apparent consumption - for this, it is important to note the difference in coverage and the potential quality issues at the most detailed CN code level. The tables with sales by industry are consistent from 2000 following the DB07 classification. , Read more about comparability, Accessibility and clarity, These statistics are published annually at the beginning of March in a Danish press release. Quarterly figures are published in the StatBank under , Purchases and sales by manufacturing industries, . Internationally, these statistics are available through Eurostat's , database, and at the UN, where the statistics are disseminated under , Industrial Commodity Statistics, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/manufacturers--sales-of-goods--quarterly-

    Documentation of statistics

    Documentation of statistics: Consumer Price Index

    Contact info, Prices and Consumption, Economic Statistics , Martin Sædholm Nielsen , +45 24 49 72 81 , MNE@dst.dk , Get documentation of statistics as pdf, Consumer Price Index 2025 , Previous versions, Consumer Price Index 2024, Consumer Price Index 2023, Consumer Price Index 2022, Consumer Price Index 2021, Consumer Price Index 2020, Consumer Price Index 2019, Consumer Price Index 2018, Consumer Price Index 2017, Consumer Price Index 2016, Consumer Price Index 2015, Consumer Price Index 2014, Documents associated with the documentation, Klassifikationskoder og beskriveler (pdf), Notat om forbruger-og nettoprisindekset i forbindelse med coronakrisen (pdf) (in Danish only), Weightings 2025 (xlsx), Vægtgrundlag 1991 til i dag (xlsx) (in Danish only), Vejledning til regulering med prisindeks (pdf) (in Danish only), Vægte 2021 og corona (pdf) (in Danish only), FPI-dokumentation - opdateret maj 2020 (pdf) (in Danish only), The purpose of the consumer price index is to measure the development of the prices charged to consumers for goods and services bought by private households in Denmark. The consumer price index has been calculated since 1914, but there are estimated figures for the development in consumer prices back to 1872. From January 1967 the index has been calculated on a monthly basis., Statistical presentation, The consumer price index shows the development of prices for goods and services bought by private households in Denmark. Thus, the index also covers foreign households' consumption expenditure in Denmark, but not Danish households' consumption expenditure abroad. The index shows the monthly changes in the costs of buying a fixed basket of goods, the composition of which is made up in accordance with the households' consumption of goods and services. The consumer price indices divided by group of households show the price development for different households. , The price indices for April, May, June, July, August, September, October, November, December 2020 and January, February, March, April, May and June 2021 are more uncertain than usual, as the non-response rate has been significantly larger than normal and some businesses have been shut down due to COVID-19., Read more about statistical presentation, Statistical processing, The consumer price index is calculated on the basis of 23,000 prices collected from approx. 1,600 shops, companies and institutions throughout Denmark. Most prices are by far collected monthly. The data material received is examined for errors, both by computer (using the so called HB-method) and manually. The different goods and services, which are included in the consumer price index, are first grouped according to approx. 500 elementary aggregates for which elementary aggregate indices are calculated. The elementary aggregate indices are weighted together into sub-indices that are in turn aggregated into the total consumer price index. In calculating a price index it is assumed that the baskets of goods that are compared are identical, also with respect to the quality of the goods. Mainly indirect quality adjustment methods are being applied in the consumer price index in connection with changes in the sample. , Read more about statistical processing, Relevance, The consumer price index is generally viewed as a reliable statistic based on the views of users., Important users are among others the Ministry of Finance, The Ministry of Economic Affairs and the Interior, The Danish Central Bank and private banks and other financial organizations., Read more about relevance, Accuracy and reliability, No calculation has been made of the uncertainty connected with sampling in the consumer price index as the sample is not randomly drawn, but the quality of the consumer price index is accessed to be high., In addition to the "general" uncertainty connected with sampling, there are a number of sources of potential bias in the consumer price index. One source is the consumers substitution between goods and shops and another source is changes in the sample (se chapter regarding "Non-sampling error")., Read more about accuracy and reliability, Timeliness and punctuality, The consumer price index is published on the 10th or the first working day thereafter, following the month in which the data was collected. , The statistics are published without delay in relation to the scheduled date., The consumer price indices divided by group of households are published twice a year., Read more about timeliness and punctuality, Comparability, The consumer price index is related to the European Union harmonized consumer price index (HICP) and to the index of net retail prices. From January 2001, the only difference between the national consumer price index and the HICP is the coverage of goods and services, as owner-occupied dwellings is only recorded in the consumer price index and not in the HICP. The consumer price index is also related to the index of net retail prices. The two indices comprise the same groups of goods and services and are calculated according to the same methodology. Consequently, the only difference between the two indices is the price concept used, as indirect taxes and VAT are subtracted in the index of net retail prices, and the weighting., Read more about comparability, Accessibility and clarity, These statistics are published monthly in a Danish press release and in the StatBank under , Consumer Price Index, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/consumer-price-index

    Documentation of statistics

    Documentation of statistics: Financial accounts for general government

    Contact info, Government Finances, Economic Statistics , Jacob König , +45 40 40 58 41 , COB@dst.dk , Get documentation of statistics as pdf, Financial accounts for general government 2025 , Previous versions, Financial accounts for general government 2023, Financial accounts for general government 2022, Financial accounts for general government 2021, Financial accounts for general government 2020, Financial accounts for general government 2019, Financial accounts for general government 2018, Financial accounts for general government 2017, Financial accounts for general government 2016, Financial accounts for general government 2015, Financial accounts for general government 2014, The purpose of the quarterly financial accounts for general government is to present a detailed picture of the holdings, transactions (buying and selling), other changes in volume and revaluations of financial assets/liabilities by financial instruments., To ensure international comparability the statistics comply with the European System of Accounts - ESA 2010., The annual financial accounts for general government has been published since 2001 while the quarterly financial accounts has been published since June 2002. The statistics is available from Q1 1995 and onwards., Statistical presentation, Quarterly financial accounts make up a consistent system, showing the financial flows and net worth of the general government sector of the economy over time. The financial accounts for the general government sector, the financial (transactions) account, which shows buying and selling of financial instruments, describes an important part of the transition from the opening balance sheet account to the closing balance sheet account. Because the financial instruments are valued at market price, another important part of the transition is made up by revaluations, which are shown in the revaluation account. The remaining part is found in the account of other changes in volume, showing e.g. losses on debtors and relocations of units between sectors. As a general rule opening balance sheet + financial transactions + revaluations + other change in volume = closing balance sheet should always hold. When published the revaluation account and the account of other change in volume are combined. The statistics is published both consolidated and unconsolidated and with counterpart information for the domestic and foreign sector, respectively. The economic measures and consequences of the COVID-19 pandemic affects the financial accounts for the general government, but the data quality is not significantly reduced., Read more about statistical presentation, Statistical processing, The main sources are the accounts of central and local government as well as social security funds. Additional information are received from, among others, the Central Bank. , Data are mainly received on a quarterly basis and validated using other data sources and, when necessary, directly with the data providers., The financial accounts for general government has with the compilation of Q2 2020 been revised for the period 2017-2020 as part of a major collaboration with Danmarks Nationalbank on the overall financial accounts for Denmark., Read more about statistical processing, Relevance, The users of , Quarterly financial accounts, are primarily expected to be Danmarks Nationalbank, financial institutions, economic ministries, lobby organizations, financial analysts (in general for the purpose of analysis, forecasting and modeling)., Read more about relevance, Accuracy and reliability, The quarterly financial accounts are based on a number of sources that may be influenced by a certain degree of inaccuracy, which may affect the quarterly financial accounts. Because of the consistency checks and the data confrontations carried out, the influence of the inaccuracy of the sources is, however, reduced., In principle, it is not possible to measure the level of inaccuracy. However, the net lending/net borrowing across the general government sector, which are calculated before the final balancing is carried out, are comparable with the same measure in the non-financial accounts. The differences can be regarded as a measure of accuracy for the national accounts as a whole., Read more about accuracy and reliability, Timeliness and punctuality, Data is published approximately at t+3 months., High degree of punctuality: Data has been published at the announced time since the first publication in 2003., Read more about timeliness and punctuality, Comparability, Comparison over time is high as there are no significant breaks in the time series, and none at all for the last 10 years., Internationally the level of comparison is high as the Danish national accounts follow the ESA 2010 guidelines., Read more about comparability, Accessibility and clarity, Current publications: The statistics are published in , News from Statistics Denmark (Nyt fra Danmarks Statistik, ), and in the series , Statistical News (Statistiske Efterretninger), ., Yearbooks:, Statistical Yearbook (Statistisk Årbog), and , Statistical Ten-year Rewiev (Statistisk Tiårsoversigt), ., http://www.Statbank.dk: Annually financial accounts and Quarterly financial accounts for the general government sector (updated quarterly) (OFF13 and OFF22)., Subject page: , Financial accounts, government finance, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/financial-accounts-for-general-government

    Documentation of statistics

    Data from other sources

    Here you can get an overview of data from other sources than Statistics Denmark., COVID-19 test data and vaccination data from SSI (Statens Serum Institut), Statistics Denmark has entered into an agreement with SSI (Statens Serum Institut) on making COVID-19 test data and vaccination data available to researchers under Statistics Denmark’s microdata schemes., COVID-19 testdata, includes people who from February 2020 have taken a COVID-19 PCR test and/or antigen test (rapid test) with the microbiological departments, TestCenter Danmark, private COVID-19 test providers or municipalities, schools and educational institutions that can report to MiBa (test data for all test results) via various solutions and technical levels., COVID-19 vaccination data, includes citizens who have taken a COVID-19 vaccination, who have a Danish civil registration number, are alive and have an active address in Denmark on the date of the data extraction, as well as people who were alive and had an active address in Denmark on 27 December 2020 (vaccination data)., See SSI’s documentation for COVID-19 data, Denmark's Study Survey by the Ministry of Higher Education and Science, Statistics Denmark has entered into an agreement with the Ministry of Higher Education and Science on making survey data from Denmark’s Study Survey available to researchers under Statistics Denmark’s microdata schemes., Data will be released as register UFM_STUD for reference years 2018 and 2020 and subsequently every other uneven reference year., The variable content in the register is listed under , Register- og variabeloversigter, and described in more detail in the below documentation., Spørgeskemaer, Spørgeskema - Studerende 2023 (pdf), Spørgeskema - Studerende 2021 (pdf), Spørgeskema - Studerende 2020 (pdf), Spørgeskema - Studerende 2018 (pdf), Kodebog, Kodebog (xlxs), Metodenotater, Metodenotat - Studerende 2023 (pdf), Metodenotat - Studerende 2021 (pdf), Metodenotat - Studerende 2020 (pdf), Metodenotat - Studerende 2018 (pdf), Data from the Danish Health Data Authority, The Danish Health Data Authority's Research Service does not enter into agreements on data disclosure for projects at Statistics Denmark until Statistics Denmark has approved the project. , When you apply for disclosure of data from the Danish Health Data Authority for a new project with Statistics Denmark, the Health Data Authority’s Research Service must thus see the documentation showing that the project has been created and approved by Statistics Denmark. You can submit the documentation in the form of the approved project proposal that you receive as a pdf file from Statistics Denmark., You can create the project proposal with the Health Data Authority while waiting for approval of your project proposal from Statistics Denmark. Your application will be put on hold until the Health Data Authority has received an approved project proposal, but it is possible to make an agreement so that they continue the review process. However, you should be aware as a researcher that the Danish Health Data Authority will invoice you for the time they spend reviewing the case, and this also applies if Statistics Denmark does not approve the project., The trans-regional register for the Oresund region, In connection with the establishment of the Oresund statistics and the Oresund databank, a so-called trans-regional register has also been established linking all relocation, commuting and payroll data across the Oresund region in the period 2001-2015. This Research register was established in connection with the establishment of the ØRESTAT statistical bank for the Oresund region., The trans-regional register is structured as three separate datasets, which can be combined via a common serial number system., Dataset 1 contains relocation data for relocation across the Oresund strait., Dataset 2 is a corresponding commuting dataset, where the commuting is delimited by rules corresponding to those of the national commuting statistics, i.e. the main activity must take place on the other side of the Oresund strait., Dataset 3 includes everyone who has earned wages across Oresund, regardless if the person is categorised as a commuter., Note that the register is no longer being updated, and that the most recent data is from 2015., If you have enquiries about access to the register, please write to , forskningsservice@dst.dk, The DREAM database, The longitudinal database, DREAM, belongs to the Danish Ministry of Employment and is managed by The Danish Agency for Labour Market and Recruitment. The database contains employment information and other basic personal data, and the documentation below gives a more detailed description of it., Statistics Denmark has made an agreement with the Danish Agency for Labour Market and Recruitment on access to DREAM under the researcher scheme. Research projects that are to use data from Dream can gain access via Statistics Denmark Research Services., DREAM - Manual - Version 51, Handicnota, The HANDICNOTA register includes people who are dyslexic, visually impaired or have another disability that prevents them from reading regular printed text., Data has been obtained from NOTA (Danish Library and Expertise Centre for people with print disabilities). The register only has information about the disability reported to NOTA for each member, meaning either dyslexia, visual impairment or another disability. In addition to the three categories of disability, the register contains a fourth member group of teachers. This group needs to renew their NOTA membership each year as opposed to the other three member groups., The documentation of the register is available under , Forudsætninger for brug af HANDICNOTA, Aid package data from the Danish Business Authority, Since the end of May 2020, it has been possible to gain access to aid package data in the form of compensation for loss of earnings in Research Services’ databank of basic data., Two datasets on compensation for loss of earnings, The compensation for loss of earnings data are in two separate registers: LONKOMP - compensation for employees and KOMPSEL - compensation for self-employed persons., The data has been updated weekly in the databank of basic data upon reception of the aid package data from the Danish Business Authority. On 4 September 2021, data was released for the last week of the aid packages, which expired at the end of August 2021. In the subsequent weeks, data has been updated on a regular basis as the Danish Business Authority has completed its review of the applications. Weekly updates have continued up to and including week 18 in 2022, after which the deliveries from the Danish Business Authority are made occasionally and so are the present and future updates in the databank of basic data., A dataset on fixed costs, Data for the third aid package on fixed costs is available in the register KOMPFAST - compensation for fixed costs. This data has been available since the end of September 2021. Weekly updates have continued up to and including week 18 in 2022, after which the deliveries from the Danish Business Authority are made occasionally, which is reflected in the present and future updates in the databank of basic data., You can see the registers’ content of variables in our lists of research variables, , forskningsvariabellister, The rent register, Statistics Denmark has entered into an agreement with the National Building Fund on making the rent register available to authorised institutions under Statistics Denmark’s microdata schemes. The rent register was established in 2013 and is based on reports from the housing organisations in the non-profit sector., The rent register has information on for example:, The housing organisations, The housing departments, Social housing at tenancy level,  , Huslejeregister - Feltbeskrivelser (pdf), Regnskabsdata - Feltbeskrivelser (pdf), Stamdata - Feltbeskrivelser (pdf),  , If you have enquiries about access to data, please write to Sigrid Krogstrup Jensen, , SIJ@dst.dk, ., Account-specific data from the Tax Administration, Statistics Denmark has entered into an agreement with the Danish Tax Authority on making account-specific data from IRTE, URTE, PANT available to businesses and researchers under Statistics Denmark’s microdata schemes., This agreement is part of a research infrastructure project called DRDS, giving researchers access to a range of recent data. DRDS is a collaboration between Copenhagen Business School, Statistics Denmark, University of Copenhagen, Roskilde University, University of Southern Denmark, Aalborg University, National Centre for Social Research and Analysis, Danmarks Nationalbank, the Secretariat of the Economic Council, and the Rockwool Foundation Research Unit., Data contains information on:, Deposit rates (IRTE) for individuals IRTEPERS 2003-2021, Deposit rates (IRTE) for businesses IRTEVIRK 2003-2019, Lending rates (URTE) for individuals URTEPERS 2003-2021, Lending rates (URTE) for businesses URTEVIRK 2003-2019, Mortgages (PANT) for individuals PANTPERS 2003-2021, Mortgages (PANT) for businesses PANTVIRK 2003-2019, Data is described in more detail in the list of variables below, Variabelliste - IRTE URTE og PANT (pdf), The 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 makes National Patient Register (LPR) data available to researchers. In Statistics Denmark, the LPR contains a multitude of particulars on examinations and treatments for all contact with the Danish hospital system, including hospitalisation and outpatient treatment., The reporting to the National Patient Register version 2 (LPR2) transitioned to a new data format (LPR3) between 1 January 2019 and 3 March 2019. The transition occurred gradually from LPR2 to LPR3, and therefore, there are reports in both LPR2 and LPR3 during this period. After 3 March 2019, reporting in LPR2 was closed, and all reports after that date are registered in LPR3., LPR2, Statistics Denmark has LPR2 data from 1977 to 2019., The LPR is a dynamic register that has been continuously updated – even retrospectively. Statistics Denmark has the updated versions of all LPR tables for the years 2005-2019., For hospital admissions to somatic departments, the register dates back to 1977. Emergency room and outpatient contacts have been registered since 1994. Hospital admissions to psychiatric departments have been registered since 1995. Hospital admissions to private hospitals have been registered since 2002., For documentation, see eSundhed.dk: , Documentation of LPR2 (in Danish), For information on data and data breaks (Data from other sources and data breaks in LPR2), see below:, Rates:, DRG and DAGS are not part of LPR, but can be linked to the individual admission and contact via the admission ID (recnum). Research Services has rates from 2002 to 2018., Non-finalised hospital admissions / out-patient contacts (UAF_):, The non-finalised outpatient admissions exist in the LPR that Statistics Denmark has available for the years 1994 onwards., LPR clean-up:, Up to and including 2009, The Danish Health Data Authority made an LPR clean-up, consisting in: , Sorting out all departments with special codes in the range 60-69, Sorting out all healthy companions, DZ763, Sorting out individual departments, for example departments with names such as ’Forskningsafdeling’ (research department)., Other data break, There may be other data breaks that we are unaware of., LPR3_F (researcher-oriented LPR3 data model), Statistics Denmark has LPR3_F data from the Danish Health Data Authority for the years 2019-2021, which can be ordered. The names of the registers begin with LPR_F_ and appear from the , register overview (in Danish), ., Please read , the Health Data Authority’s guide for LPR3_F (in Danish), , before you make a request for data., Medicine statistics register (Lægemiddelstatistikregisteret), Statistics Denmark has made an agreement with the Danish Health Data Authority on access to pharmaceutical products data under Statistics Denmark’s researcher scheme. For a more detailed description of the data content, see the , website of the Danish Health Data Authority, ., If you want access to pharmaceutical products data for your project at Statistics Denmark, you must apply to the Danish Health Data Authority for access. You apply via an online application form, and you must submit a project description, a description of the data extraction and a completed data order form., On the Research Services website, you will find , guidance on how to apply for access., ., When you apply for access to pharmaceutical products data, there are special requirements to the content of your application. On the Research Services website, you will find a , guide for applying for access to pharmaceutical products data, ., When you have the above in place, you can apply for access to data via Statistics Denmark using the application form (in Danish) at , Gå til ansøgningsskema, on the Research Services page., The Birth Register, The Birth Register holds information about all hospital and home births in Denmark and contributes with data for medical research., The Danish National Archives, Statistics Denmark has entered into an agreement with the Danish National Archives on making their data available to researchers via Denmark’s Data Portal., The National Archives collect data from the public administration and Danish research environments, and this data can be relevant for Danish register research, either because data is older than the official statistics registers or because data has a higher degree of detail. Access to data is governed by the Danish Archives Act, which is why there is a special application process for data from the Danish National Archives. This means that all researchers who are active on the project must have permission from the Danish National Archives. If data includes personal data, the National Archives must obtain consent for the permission from the Danish Data Protection Agency before the personal data may be disclosed. If data is less than 20 years old, the National Archives must also obtain consent for the permission from the authority that originally collected the data., The multi-generation register – Lite, The multi-generation register – Lite (MGR-lite) contains family relations for all Danish citizens born around 1953 or later. This means that it contains family relations from 7 years prior to those of the Civil Registration System (CPR). Until 1978, the Civil Registration System deleted information on family relations when an individual turned 18 years, but the National Archives have maintained snapshots of the Civil Registration System from e.g. 1968, 1969 and 2013, which in MGR-lite have been used to recreate family relations back to 1953., If you need data from MGR-lite for a research project, note that all participants in the project must obtain permission from the Danish National Archives, and that the National Archives must obtain consent from the Danish Data Protection Agency and the CPR registry, before data may be disclosed for the research project. Accordingly, you should expect a processing time of at least 1-3 months., You can apply for access to data from MGR-lite via Denmark’s Data Portal., Read more about access to data in Denmark’s Data Portal, You can find more information on MGR-lite at the Danish National Archives (in Danish), Contact , Researcher Service at the National Archives, if you have further questions., Ordering data from the Danish National Archives via Denmark’s Data Portal, It is possible to request data from the National Archives via Denmark’s Data Portal. In addition to Statistics Denmark, the National Archives must also approve the project proposal, which is why there is a different procedure for project proposals where this data has been opted for. Please note that this may increase the processing time by 1-3 months., Basic principles for requesting data from the Danish National Archives, Data relevance and data minimisation, The statement of the purpose of data must be specific, precise and easy-to-understand., The combination of register units and types of populations must be justified., Additional data must also be covered in terms of relevance to society/purpose/description., The proposal must constitute the project overview, while the appendix holds the details, It must be possible to read the proposal and the appendix both separately and as coherent documentation of a project., The proposal is also sent to the Danish National Archives for approval, This means that the institution administrator or contact person with powers will be asked to enter the following information for each researcher associated with the project. Civil registration number, address, city and postal code., Requesting data from the National Archives, Complete the project proposal in Denmark’s Data Portal:, Start by filling in the purpose of the project proposal, description and relevance to society. Data from the National Archives is selected in the same way as data from other registers., Adding the Danish National Archives as an external authorising authority:, When Research Services has approved the project proposal, the institution administrator or contact person with powers must send it to the National Archives for further approval. This is done from the project proposal page by selecting the button ‘Submit to external authority’., Enter necessary information for the Danish National Archives:, When the project proposal is to be submitted to the National Archives, the institution administrator or contact person with powers will be asked to enter the following information for each researcher associated with the project: Civil registration number, address, city and postal code. This must be done for all researchers all at once. This information is necessary, as the National Archives have their separate principles and requirements. This information is not saved in Denmark’s Data Portal for GDPR reasons. If you break off while entering information, you will thus need to enter the information again., Await approval from the National Archives:, After the project proposal has been submitted to the National Archives, its status will be ‘Pending external authority’ in Denmark’s Data Portal. The National Archives will review the project proposal and send you either an approval or a rejection via e-boks., Handling of approval:, When a researcher receives approval in e-boks, he or she also receives a document that must be signed before the data can be delivered. Note that all researchers associated with the project must sign., When each researcher has received and signed the approval, an administrator or contact person with powers must mark this in the project proposal. This is done by clicking ’…’ at the top of the project proposal page. Pay attention to the fact that all researchers must be marked all at once when they have signed the approval., After this, the project proposal can be sent for signature with the signatory of the institution. When all researchers have been marked as approved and ‘Send for signature’ has been selected in the dialogue box, the status of the project changes from ‘Submitted to external authority’ to ‘Approved by external authority’. Now the institution’s signatory can sign the document, and the project is approved. The Danish National Archives and Statistics Denmark will provide data for the project., If the institution’s signatory refuses to sign, the project proposal is returned and the process must be repeated., Handling rejections, If a project receives a negative response, there are three options:, Remove the project access for the researcher(s) who received a negative response. Access the project page and remove the researchers who have received a negative response. When the researchers are removed, an email will be sent from Denmark’s Data Portal to the National Archives notifying them that the researchers are removed from the project. Subsequently, the National Archives will be able to assign data to the project., Withdraw the project proposal if it could not obtain approval from the National Archives. When the project proposal has status as ‘Submitted to external authority’, administrator and contact person have an option to “withdraw” it. In that case, the project proposal will get a new status ‘Pending revision’. When the project proposal has status as ‘Submitted to external authority’ and it is withdrawn, Denmark’s Data Portal will send an email to the National Archives notifying them that the project proposal has been withdrawn. Revise the original project proposal and resubmit it for approval. It is important to note that the project proposal also must be re-approved by Statistics Denmark., Withdraw the project proposal, remove the National Archives register and resubmit the project proposal for approval., In this scenario, only Statistics Denmark has to re-approve., Adding new users to the project after creation, To add a new user after both Statistics Denmark and the National Archives have approved the project, the institution administrator or contact person with powers must go to ‘Project access’, click ‘Add’ and select the person to be added. A window is opened where the researcher’s civil registration number, address, city and postal code must be entered. When the researcher has received approval in e-boks, the institution administrator or contact person with powers can give access to the project. This is done by selecting ’…’ next to the project access and then select ’Confirm approval from external authority’., National Agency for IT and Learning (STIL), Statistics Denmark has made an agreement with the National Agency for IT and Learning (STIL) on access to central registers from the STIL statistical resources under Statistics Denmark’s microdata schemes. Research projects that are to use data from the comprehensive STIL registers can gain access via Statistics Denmark Research Services., Elevfravær i grundskolen, contains information about the number of days pupils in primary and lower secondary school are absent due to illness, absent with permission and absent without permission on a monthly basis., Den nationale trivselsmåling i grundskolen for 0.-3. klasse, contains replies to questions from the question frame for pupils in primary school, which is part of the national survey of the well-being of schoolchildren., Den nationale trivselsmåling i grundskolen for 4.-9. klasse, contains replies to questions from the question frame for pupils in secondary school, which is part of the national survey of the well-being of schoolchildren. It also contains calculated indicators for social well-being, academic satisfaction, support and inspiration as well as their satisfaction with school in general., Nationale test i grundskolen (recalculated results 2014/2015 – 2021/2022), contains test results from the mandatory national adaptive tests of proficiency levels in primary and lower secondary school. For the school years 2020/2021 and 2021/2022, the tests have been adjusted so that only a combined test result is calculated per test. The results for the period 2014/2015 – 2019/2020 have been recalculated to the same scale as the one used in 2020/2021 and 2021/2022., Nationale test i grundskolen (original results 2009/2010 - 2019/2020), contains the originally calculated test results (before the recalculation in 2020/2021) from the mandatory adaptive national tests, including a test result in each of the three profile areas that each test features. , Folkeskolens Nationale Overgangstest, contains test results from the linear transition tests that replaced the national tests as of 2022/2023. Data is updated annually up to and including 2025/2026. , Kompetencedækning i grundskolen, contains information about teachers, the subjects they teach – including whether they have main subject competence in the subject – and about the classes where they are teaching the subjects., Karakterer i grundskolen, contains the test marks and general proficiency marks of pupils in primary and lower secondary school., You can find the data documentation for each register at the , Ministry of children and education, ., Contact , forskerdata@stil.dk, if you have questions regarding data that are not answered in the data documentation., Data on The Danish students Grants and Loans scheme (SU) from the Ministry of Higher Education and Science, Statistics Denmark has entered into an agreement with the Ministry of Higher Education and Science on making The Danish students Grants and Loans scheme (SU) data available to researchers under Statistics Denmark’s microdata schemes., Data will be published as the basic register UFM_SU for reference years 1991 onwards., The variable content in the register is listed in , Register- og variabeloversigter, and described in more detail in the below documentation:, SU-tildeling 1991 og frem, UDD-koder, The future study by the Senior Citizen Organisation (Ældre Sagen), Statistics Denmark has entered into an agreement with the Senior Citizen Organisation (Ældre Sagen) on making survey data from the future study available to researchers under Statistics Denmark’s microdata schemes., Data will be published as the register FREMTIDSSTUDIET. It is a survey of the lives, expectations and desires for the future of 50-89-year-old citizens for the reference years 2010, 2015, and 2021, and subsequently every fifth reference year., In our , register overview (in Danish), , you can see the content of variables in the register. It is described in more detail in the documentation below., The presentation of 2021 data contains background variables bought-in by the senior citizen organisation (Ældre Sagen) in connection with completion of the future study (as of 1 October 2021). The variables pertain to sex, age, highest educational attainment level, socio-economic status, equivalent disposable income for the family, ancestry, municipality and the composition of the family calculated in DST Survey., The bought-in background variables are presented in the register FREMTIDSSTUDIET as at the time of the study in 2021 and are not changed, even though corrections are being made retrospectively in Research Services’ basic data for the affected areas. Updated background variables thus require further bought-in variables from Research Services., On the future study, The future study is a longitudinal study, the purpose of which it is to draw a picture of the present and future lives of elderly citizens and their life situation in general – including their desires, needs, expectations and worries about the future., The study from 2021 is based on answers from 4,990 Danish citizens aged 50 to 89 years to questions revolving around: quality of life, age, health, accommodation, transport, social network, help in everyday life, financial help, loneliness, home care, dignity, welfare and society, volunteering, the labour market, financial circumstances, inheritance, age discrimination and technology., The future study has previously been completed in 2010 and 2015. Data for the future study was collected all three years by Statistics Denmark via online questionnaires and telephone., With the future study, it is possible to examine:, Differences in 2021: How did citizens aged 50 to 89 answer in 2021, and are there differences in the replies of men and women and different age groups?, Generational differences: How did for example 50-54-year-old citizens answer in 2021 compared with 50-54-year-old citizens in 2010 and 2015?, Changes over time for the same people: What did people who participated in 2010 and 2015 answer, now that they have become older?, While the sample of the future study back in 2010 consisted of the four age brackets: 50-54 years, 60-64 years, 70-74 years and 80-84 years, the sample in 2021, just as in 2015, covers all eight five-year age brackets from 50-89 years., The majority of the questions from the future studies 2010 and 2015 recur in 2021. At the same time, questions and answer options have continuously been adjusted to match the social development, and some questions from earlier studies have been excluded, while others have been added. For that reason, it is not possible to compare all questions over time., Read more about the future study and the method behind the documentation below or at , Ældre Sagen, ., Survey, Bilag 1_FTS2010_survey, Bilag 2_FTS2015_survey, Bilag 3_FTS2021_survey, Code book, Bilag 4_FTS2010_kodebog, Bilag 5_FTS2015_kodebog, Bilag 6_FTS2021_kodebog, Method records, population and sample overviews, 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: There is no separate population and sample overview for 2010. It is part of the actual method documentation., Further documentation (also available at the Ældre Sagen website), Bilag 14_FTS2021_temaoversigt_survey, Bilag 15_FTS2010_2015_2021_dataark, Bilag 16_FTS2010_2015_2021_surveyoversigt

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