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LER

Unknown

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/ler?id=50057b6c-cb31-42a2-b9f7-d7e582dc2d73

The Combined Nomenclature (CN)

Unknown

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/kn?id=82f0fee5-2769-43bc-83fc-79117ee135ae

European Classification of Individual Consumption according to Purpose (ECOICOP), v1:2016-

Name: , ECOICOP_EU_V1_2016 , Description: , ECOICOP is a classification developed by the United Nations Statistics Division and further sub-divided by Eurostat to classify and analyze individual consumption expenditures incurred by households, non-profit institutions serving households and general government according to their purpose., Valid from: , January 1, 2016 , Office: , Priser og Forbrug , Contact: , Martin Sædholm Nielsen, , mne@dst.dk, , ph. +45 24 49 72 81 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, European Classification of Individual Consumption according to Purpose (ECOICOP), v1:2016-, January 1, 2016, Still valid

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/ecoicop-eu

Documentation of statistics: Childcare institutions

Contact info, Population and Education, Social Statistics , Jens Bjerre , +45 29 16 99 21 , JBE@dst.dk , Get documentation of statistics as pdf, Childcare institutions 2024 , Previous versions, Childcare institutions 2023, Childcare institutions 2022, Childcare institutions 2021, Childcare institutions 2020, Childcare institutions 2019, Childcare institutions and units 2018, These statistics cover the number of childcare institutions and units in Denmark, for children from 0 through 17. Before 2015 these figures were part of the overall childcare statistics., Statistical presentation, This survey is an annual estimate of the number of institutions and units within day care, including whether the institutions are organized by the municipality, the childcare scheme and ownership of the institution., Read more about statistical presentation, Statistical processing, The count of institutions in Statistics Denmark is continuous updated with new data from data suppliers. New information on closure - or opening of institutions is examined by Statistics Denmark before the changes are added to the count of institutions, Read more about statistical processing, Relevance, The data is collected on an agreement between Statistics Denmark, the Ministry for Children and Social Affairs and Ministry of Higher Education and Science. The count is expected to amount to an official register for institution on the day care facilities in the Ministry for Children and Social Affairs. , Read more about relevance, Accuracy and reliability, The accuracy is considered to be high, as it is used by municipalities for their financial administration, and updates in the institution registry undergo extensive error-checking., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published in September of the year following the end of the reference year. The statistics are normally published without delays compared to the pre-announced release date in the release calendar., Read more about timeliness and punctuality, Comparability, There are figures for the number of childcare institutions back to the 1940s. At that time, the statistics were about institutions for preventive child care. Since 1964 the number of day-care institutions at national level is calculated. Figures from before 2004 can be found in the , Statistical Yearbook, while figures from 2004 onwards can be found in the StatBank. The compilation of institutions from 2017 has been collected through personal contact of the DST survey., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Institutions, . For more information go to the subject page on , Childcare, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/childcare-institutions

Documentation of statistics

Use code, v1:1992

Name: , BENYTKOD_V1_1992 , Description: , Description only in Danish., Valid from: , January 1, 1992 , Office: , Priser og Forbrug , Contact: , Jakob Holmgaard, , jho@dst.dk, , ph. +45 24 87 64 56 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Use code, v1:1992, January 1, 1992, Still valid

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/benytkod

Documentation of statistics: Health among young people not in employment, education or training (NEET) (experimental statistics)

Contact info, Personal Finances and Welfare, Social Statistics , Line Neerup Handlos , +45 26 64 03 00 , LHA@dst.dk , Get documentation of statistics as pdf, Health among young people not in employment, education or training (NEET) (experimental statistics) 2023 , Previous versions, Health among young people not in employment, education or training (NEET) (experimental statistics) 2022, Health among young people not in employment, education or training (NEET) (experimental statistics) 2021, The purpose of Health among young people not in employment, education or training (NEET) is to shed light on hospital utilisation, consultations with physicians and purchases of prescription medicine among 16-24-year-olds, distinguishing between the inactive NEETs (Not in Employment, Education or Training) and the remaining group of active young people. The statistics are used to compare the state of health among NEETs and the remaining group of active young people. These statistics have been compiled since 2019 and are in their current form comparable from 2019 and onwards., Statistical presentation, Health among young people not in employment, education or training (NEET) are a yearly measurement of hospital utilisation, consultations with physicians and purchases of prescription medicine among 16-24-year-olds stated in number and proportion of people, as well as number of contacts with the hospital system and selected health professionals/redeemed prescriptions per person. The statistics are grouped by NEET status (the NEET group vs. the remaining group of active young people), sex and by geography., Read more about statistical presentation, Statistical processing, Data for these statistics are collected yearly from the Register-Based Labour Force Statistics and the two health statistics: the Hospital Utilisation Statistics and the Health Insurance Statistics as well as the Register of Pharmaceutical Sales. Collected data are not further validated. Instead, collected data are merged, and the detailed information about the population's hospital utilisation, consultations with physicians and purchases of prescription medicine is aggregated into the final statistical output., Read more about statistical processing, Relevance, The statistics are relevant for professionals, analysts and other interested parties as a basis for elucidation and in-depth analyses of the health of the NEET group., Read more about relevance, Accuracy and reliability, The overall accuracy of these statistics is high, which means that they are a good measure of the health status among the NEET group and the remaining group of active 16-24-year-olds. However, it should be noted that the operationalization of NEET status implies a great diversity within the NEET group, for this reason far from all young people in this group should be designated vulnerable. Overall, the statistics are reliable, as both the data and methods are of good quality. As the statistics only release final figures, revisions are not expected., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published within 1.5 years after the end of 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 2019 and are in their present form comparable from 2019 and onwards., Read more about comparability, Accessibility and clarity, These statistics are published once 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 , Health of vulnerable groups, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/health-among-young-people-not-in-employment--education-or-training--neet---experimental-statistics-

Documentation of statistics

Documentation of statistics: Protected buildings and ancient monuments

Contact info, Science, Technology and Culture, Business Statistics , Christian Max Gustaf Törnfelt , +45 21 63 60 20 , CHT@dst.dk , Get documentation of statistics as pdf, Protected buildings and ancient monuments 2024 , Previous versions, Protected buildings and ancient monuments 2022, Protected buildings and ancient monuments 2021, Protected Buildings and Ancient Monuments 2020, Protected Buildings and Ancient Monuments 2019, Protected Buildings and Ancient Monuments 2018, Protected Buildings and Ancient Monuments 2017, Protected Buildings and Ancient Monuments 2016, Protected Buildings and Ancient Monuments 2015, Protected Buildings and Ancient Monuments 2014, The purpose of the statistics is to provide a comprehensive overview of the Danish protected buildings and ancient monuments, including new protections and de-protections. Data for protected buildings are from 2012 and data for protected ancient monuments are from 2010. Buildings in Denmark have been protected since 1918. , Statistical presentation, The statistics show the number of protected buildings and ancient monuments, including distribution of protected buildings by provinces of the country and construction year in 50 year ranges. The statistics also show the number of new protections and de-protections., Read more about statistical presentation, Statistical processing, The role of Statistics Denmark with respect to this statistics is solely to assure the quality and communicate information that is selected, collected, processed and disseminated by other producers of statistics/data suppliers. Please refer to the original sources for a detailed review of the statistical processing., Read more about statistical processing, Relevance, The users include municipalities, organizations and students. There is not carried out a user satisfaction survey to the statistics., Read more about relevance, Accuracy and reliability, The registration in the register of both listed buildings and ancient monuments is done manually and with a certain delay in relation to the decision of conservation., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published annually in mid-February and are usually published in relation to the scheduled time., Read more about timeliness and punctuality, Comparability, There are no reservations regarding comparability over time., Read more about comparability, Accessibility and clarity, The statistics are published in the (StatBank Denmark) (http://www.Statbank.dk)., Tables: KFRED1: Protected buildings by region, type of building and year of construction. KFRED2: Protected ancient monuments by region and farm category. KFRED3: New protections and de-protections by unit and region., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/protected-buildings-and-ancient-monuments

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

Documentation of statistics: ICT Usage in Households and by Individuals

Contact info, Science, Technology and Culture, Business Statistics , Anne Vibeke Jacobsen , +45 20 14 84 28 , AVJ@dst.dk , Get documentation of statistics as pdf, ICT Usage in Households and by Individuals 2025 , Previous versions, ICT Usage in Households and by Individuals 2024, ICT Usage in Households and by Individuals 2023, ICT Usage in Households and by Individuals 2022, ICT Usage in Households and by Individuals 2021, ICT Usage in Households and by Individuals 2020, ICT Usage in Households and by Individuals 2019, ICT Usage in Households and by Individuals 2018, ICT Usage in Households and by Individuals 2017, ICT Usage in Households and by Individuals 2016, ICT Usage in Households and by Individuals 2014, The purpose of the statistics ICT Usage in Households and by Individuals is to analyse the access to and use of the Internet, and to follow the development. Survey questions have been deleted and added from time to time, in order to reflect new aspects and developments. The survey is based on international cooperation, a common Eurostat questionnaire and methodological guidelines. The statistics have been compiled since 2001 and in the present form it is comparable from 2008 onwards., Statistical presentation, This survey is based on a European model questionnaire coordinated by Eurostat. The survey covers among other subjects; access to and use of the Internet and computers at home and at work, type of internet connection used, type of device used for internet access e-commerce etc. Results are calculated both for the population as a hole and for subgroups divided by sex, age, occupation, type of family etc. A number of questions concerning access are directed at households instead of the individual., Read more about statistical presentation, Statistical processing, The results of the survey are grossed-up to ensure their representativeness. After collecting the data, the sample is grouped by a number of background variables, such as age and gender. Each answer gets a 'weight' that correct possible biases. The calculations are done by a regression estimator., Read more about statistical processing, Relevance, The statistics are used by the general population, the authorities, interest organizations, journalists etc. as a basis for political initiatives, analyses, articles, forecasts, exam projects, etc., Read more about relevance, Accuracy and reliability, The survey is based upon simple random selection samples, and the results are therefore subject to statistical uncertainty. For the entire populations access to Internet the uncertainty is limited, since the degree of coverage is high. Uncertainty reflects variations in the collected data in comparison to the size of the sample. If all persons/families were identical with respect to access to and use of the Internet, then a sample size of 1 would in principle be adequate. , Read more about accuracy and reliability, Timeliness and punctuality, The survey is published annually and the results are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The survey is harmonized with the EU model questionnaire, which is used in most member states., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release, at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under the subject , Digital behaviour, . For further information, go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/ict-usage-in-households-and-by-individuals

Documentation of statistics

Unemployment concepts

There are three different unemployment concepts – net unemployment, gross unemployment and LFS unemployment., Statistics Denmark regularly publishes two sets of unemployment statistics, which use different unemployment concepts and consequently result in different unemployment figures. The register-based unemployment statistics, which assess net unemployment and gross unemployment, and the interview-based Labour Force Survey (LFS), which assesses LFS unemployment. , Net unemployment covers recipients of unemployment benefits, cash benefits and student grants who are job-ready and not in job activation. The numbers are converted into ‘full-time equivalent (FTE) unemployed persons’. , In addition to net unemployment, gross unemployment also covers recipients of unemployment benefits, cash benefits and student grants who are job-ready and in job activation, including persons employed with wage subsidies, also converted into ‘FTE unemployed persons’. , LFS unemployment covers persons who indicate in the Labour Force Survey that they were not in employment during the week that the survey took place, , and, that they actively sought employment in the four weeks up to the week in which the survey took place, , and, that they were able to start a job within two weeks. , When to use which unemployment concept, In Denmark, gross unemployment is the most common unemployment concept used in the debate. Gross unemployment (and net unemployment, which is a subset hereof) gives monthly details on unemployment, e.g. at municipal level, broken down by age groups or by unemployment insurance funds. Moreover, gross unemployment is ideal for highlighting the extent of part-time unemployment and for linking with other register variables such as education and country of origin. LFS unemployment is mainly used in international comparisons of unemployment rates and trends in different countries. Furthermore, the LFS can show the extent of unemployed persons who are not entitled to unemployment benefits or cash benefits, or be used to assess the number of persons who want to find a job. , Overview of unemployment concepts,  , LFS unemployment, Net unemployment , Gross unemployment, Based on, QUESTIONNAIRE, (figures from the Labour Force Survey), REGISTERS, (data from STAR - the Danish Agency for Labour Market Recruitment), REGISTERS, (data from STAR - the Danish Agency for Labour Market Recruitment), Is, sample-based questionnaire , survey with 72,000 interviews each year, register-based complete census, register-based complete census, Published, quarterly, monthly, monthly, Unemployed persons, Complies with the international ILO definition:, - are completely jobless and, - are available to take up employment and, - have carried out activities to seek employment, are registered as unemployed recipients of unemployment benefits or job-ready recipients of cash benefits, excl. those in activation, are registered as unemployed recipients of unemployment benefits, incl. those in activation, What is, counted, number of PERSONS, persons converted to FTE PERSONS, persons converted to FTE PERSONS, Time series, in Statbank Denmark , From 2008, From 1979, From 2007, Strengths, - useful in international comparisons, - shows also unemployed persons who are not entitled to unemployment benefits or cash benefits, - shows persons who want to get a job, - shows youth unemployment (15-24-year-old persons), - allows for supplementary questions, - a monthly flash unemployment indicator , - a long time series from 1979, - shows small groups of persons , - shows available hours, - shows breakdown by unemployment benefit funds , - linkage with other register variables, - a monthly flash unemployment indicator , - shows small groups of persons, - shows available hoursr, - shows breakdown by unemployment benefit funds, - linkage with other register variables, Weaknesses, - statistical uncertainty, - high uncertainty for small groups, complies only partly with the ILO definition, as it only covers persons who are entitled to unemployment benefits or cash benefits, complies only partly with the ILO definition, as it only covers persons who are entitled to unemployment benefits or cash benefits,  ,  

https://www.dst.dk/en/Statistik/dokumentation/metode/ledighedsbegreber