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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

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: Working time accounts

Contact info, Labour Market, Social Statistics , Morten Steenbjerg Kristensen , +45 20 40 38 73 , MRT@dst.dk , Get documentation of statistics as pdf, Working time accounts 2025 , Previous versions, Working time accounts 2024, Working time accounts 2023, Working time accounts 2022, Working time accounts 2021, Working time accounts 2020, Working time accounts 2019, Working time accounts 2018, Working time accounts 2017, Working time accounts 2016, The purpose of the Danish working time accounts (WTA) is to compile time series on hours worked and calculate wage and employment data for companies registered in Denmark. The statistics integrate and aggregate existing statistics, including the Labor Market Accounts (LMA) and Employees, and it is comparable since 2008., Statistical presentation, The statistics is a quarterly and yearly calculation of hours actually worked, number of employees, number of jobs and wages in DKK million. The statistics are distributed by industry, sector, whether you are an employee or self-employed, and by gender., Read more about statistical presentation, Statistical processing, The population and concepts as well as levels of the variables are defined by annual structural data sources. Short-term data sources are applied in projections to periods for which structural data are not available. Summation of the data is conducted before they are projected. Data is seasonally adjusted for national use., In the new EU statistics under Council Regulation (EC) No 2019/2152 of 27 November 2019 concerning European Business Statistics, data are trade day adjusted before being compiled into indices, Read more about statistical processing, Relevance, The statistics is relevant for users interested in social and economic statistics., Read more about relevance, Accuracy and reliability, The statistics is mainly based on the Labour Market Accounts (LMA). LMA integrates and harmonizes a wide range of data sources in a statistical system. This means that LMA can illustrate the labour market better than individual statistics can. LMA is at the same time based on a total census of the population, so there is not the same uncertainty as with statistics based on sampling. The quality of the statistics has also been significantly improved by the fact that the projection period has been reduced compared to previous versions., Read more about accuracy and reliability, Timeliness and punctuality, The annual Working Time Accounts (WTA) are published 6 months after the reference year. The quarterly WTA are published two months and 15 days after the reference quarter. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The Working Time Accounts (WTA) provide data for Council Regulation (EC) No 2019/2152 of 27 November 2019 and for the National Accounts (SNA/ESA). Changes in these will typically lead to changes in the ATR. For an explanation of transition tables between ATR and SNA/ESA, see National Accounts publications., Read more about comparability, Accessibility and clarity, The statistics are published in in the , Statbank Denmark, . You can read more on our , website on the Working Time Account, WTA, and our , website on employment, ., S.6.2. Data sharing: In addition to quarterly figures to Eurostat (STS and indirectly via ESA), data from the Danish WTA are also transmitted to OECD (regional questionnaire) and ILO (ILOSTAT database) although the latter are transmitted in annual figures only., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/working-time-accounts

Documentation of statistics

Documentation of statistics: Long Term Unemployed Persons

Contact info, Labour Market, Social Statistics , Carsten Bo Nielsen , +45 23 74 60 17 , CAN@dst.dk , Get documentation of statistics as pdf, Long Term Unemployed Persons 2024 , Previous versions, Long Term Unemployed Persons 2020, Long Term Unemployed Persons 2019, Long Term Unemployed Persons 2018, Long Term Unemployed Persons 2017, Long Term Unemployed Persons 2016, Long Term Unemployed Persons 2015, Long Term Unemployed Persons 2014, This statistics show the structure and development of long-term unemployment, defined as gross unemployment spells of minimum 52 weeks. The statistics cover all months in the period from January 2009 onwards. The statistics also covers shorter and longer unemployment spells, these different spells was published for the first time in October 2018., Statistical presentation, The statistics cover the persons who are long-term unemployed due to administrative data. A long-term unemployed person has been gross unemployed for at least 52 consecutive weeks (1 year). Persons who leave the gross unemployment for a period of 4 weeks, within the 12 months, and who is not in ordinary employment during the period of 4 weeks are also included in the statistics. The statistics also covers unemployment spells by duration from 26 weeks (0,5 year) up to 156 weeks (3 years)., Read more about statistical presentation, Statistical processing, The statistics of long-term unemployment is made out of the register of public benefits that covers all persons receiving public benefits in the age below their official pension age. The Register of Employees is also used in the statistics. The employment records cover employed persons in firms registered in Denmark from January 2008 onwards., Both data regarding public benefits and employment is collected quarterly. , Read more about statistical processing, Relevance, Users: Ministries (primary the Ministry of Employment), municipalities, organizations, educational institutions, research institutions, the news media and private persons., The statistics is quite new and there has not been collected any knowledge about the user experience., Read more about relevance, Accuracy and reliability, The statistics measure the number of long-term unemployed persons according to administrative registers and is based on a full sample. The statistics is precise according to the written description of long-term unemployment., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published quarterly and is published 4 months after the end of the reference period., Read more about timeliness and punctuality, Comparability, The statistic is comparable from one month to another from January 2009 onwards. For international comparison the long unemployment term/figures from the Labour Force Survey is recommended., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under the subject , Unemployed persons, . For further information, go to the subject page](https://www.dst.dk/en/Statistik/emner/arbejde-og-indkomst/beskaeftigelse-og-arbejdsloeshed/arbejdsloese). , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/long-term-unemployed-persons

Documentation of statistics

Documentation of statistics: Structure of Earnings

Contact info, Labour Market, Social Statistics , Bao Chau Do , +45 30 62 50 74 , BCD@dst.dk , Get documentation of statistics as pdf, Structure of Earnings 2024 , Previous versions, Structure of Earnings 2023, Structure of Earnings 2022, Structure of Earnings 2021, Structure of Earnings 2020, Structure of Earnings 2019, Structure of Earnings 2018, Structure of Earnings 2017, Structure of Earnings 2016, Structure of Earnings 2015, Structure of Earnings 2014, Structure of Earnings 2013, The purpose of the structure of earnings statistics is to provide detailed information about employees' earnings analysed by level of education, occupation, region, industry and age for the entire labour market. The structural statistics on earnings form part of Statistics Denmark's coherent statistical system for earnings and labour costs. The system covers the public sector as well as corporations and organizations., Statistical presentation, The statistics include all establishments in the general government sector. As for the sector corporations and organizations all enterprises are included with an employment corresponding to ten or more full-time employees, with the exception of the industry agriculture, forestry and fishing. The statistics are not immediately suitable for shedding light on wage developments, as the change between two years, in addition to wage increases, reflects changes in employee composition such as the arrival and departure of employees within given groupings., Read more about statistical presentation, Statistical processing, Annually payroll information is collected for the entire General government sector as well as for companies in the private sector with 10 or more full-time employees. The public sector is considered full deck while the total population of private sector is only comprised of enterprises with 10 or more full-time employees., Read more about statistical processing, Relevance, Users of statistics are wide-ranging from national and international organizations , ministries , municipalities and regions for private companies and individuals. The structure of earnings statistics cannot be used as an employment indicator. For this purpose one should instead use the employment statistics. , Read more about relevance, Accuracy and reliability, The margins of statistical errors are especially linked to hours of work. Especially data reported on paid absence can be subject to inaccuracies. In addition to this, there may be errors in the periodic delimitation, which are essential to the compilation of hours worked as well as the agreed working time. However, efforts are continuously made to improve the data quality through feedback to the enterprises and through updating and improvement of the production systems., The statistical uncertainty is not calculated., Read more about accuracy and reliability, Timeliness and punctuality, The structure of Earnings is published on a yearly basis at then end of September following the reference period. The information is normally published without delay compared to schedule., Read more about timeliness and punctuality, Comparability, These statistics are in its current form, comparable from 2013 and onwards. Structural changes from year to year must be taken into account, when comparing the level of earnings over time. Annual data are transmitted to Eurostat by all EU Member States, and the statistics Structure of Earnings Survey (SES) are compiled on the basis of these data. , Read more about comparability, Accessibility and clarity, These statistics are published annually in a Danish press release, at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under , Structure of earnings, . For further information, go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/structure-of-earnings

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

Documentation of statistics: Continuing Vocational Training Survey (CVTS)

Contact info, Population and Education, Social Statistics , Christian Johansen , +45 21 16 49 48 , CVJ@dst.dk , Get documentation of statistics as pdf, Continuing Vocational Training Survey (CVTS) 2020 , Previous versions, Continuing Vocational Training Survey (CVTS) 2016, Continuing Vocational Training Survey (CVTS), The purpose of the CVTS survey has been to create a comparable European statistics on Continual Vocational Training and education of the employees in enterprises. The statistic constitutes a part of the strategic goal of long life learning., which is a central feature in EU's strategy to increase the competitiveness of European enterprises hen hence the economic growth., Statistical presentation, The data collected in the CVTS surveys (CVTS = Continual Vocational Training Survey) describes the enterprises activities in relation to continuing vocational training in the enterprises. The variables are specified in The European Parliament and Council Regulation No 1552/2005. Primarily it concerns the various types of training artivities, time usage and costs involved in the activities as well as planning aspects. In relation to CVTS2006 some variables are not included in CVTS2011. A few variables have been removed in CVTS2016 and a few has been simplified when compared to CVTS2011. Special COVID-19 questions were included in CVTS2020., Read more about statistical presentation, Statistical processing, Various procedures were conducted for data controlling and high quality. To assure consistency, answers which were not logic were checked and corrected by follow up by contact to the responding enterprises if necessary. Furthermore, an imputation on core variables was applied, the variables specified by Eurostat. A weighting procedure on 60 cells was applied (20 NACE categories and 3 size groups) in such a way that the sample was representative for the universe.., Read more about statistical processing, Relevance, The survey results are mainly of interest to persons engaged in the educational sector, educational institutions, ministries and business organizations., Read more about relevance, Accuracy and reliability, CVTS2006: Postal questionnaires supplemented with data from administrative registers. About 60 per cent of the returned questionnaires ended up being scanned and the rest were registered manually. The scanning of the questionnaire gave problems with the data quality for some questions, in particular concerning the questions on amounts of money, number of persons and hours. CVTS2011, CVTS2016 and CVTS2020: Web interviews in combination with telephone interviews supplemented with data from administrative registers. The survey questions about amounts of money, number of persons and hours etc. in particular gave problems with the data quality as these questions needed several persons to be involved., Read more about accuracy and reliability, Timeliness and punctuality, CVTS3: Published: 4th quarter 2007., CVTS4: Reference period: 2010. Published: 21st of Feburary 2014. , CVTS5: Reference period: 2015. Published: 21st of February 2019., CVTS6: Reference period: 2020. Published: 28th of June 2022., The period from the end of the reference period for CVTS until publication is mainly due to efforts carried out to increase response rate as well as data quality., Read more about timeliness and punctuality, Comparability, Eurostat publish data for the EU-member states for CVTS. The results are comparable across the member states as the same guidelines have been applied. The guidelines was specified by EU., Read more about comparability, Accessibility and clarity, News from Statistics Denmark and the Statbank., The CVTS results from all participating countries will be published by Eurostat on New Cronos statistical data base., Some data from CVTS2006, CVTS2011, CVTS2016 and CVTS2020 are available from the statbank: , CVTS - Statistikbanken, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/continuing-vocational-training-survey--cvts-

Documentation of statistics

Documentation of statistics: Prices and price index for agriculture

Contact info, Food Industries, Business Statistics , Simone Thun , +45 51 36 92 51 , SIT@dst.dk , Get documentation of statistics as pdf, Prices and price index for agriculture 2025 , Previous versions, Prices and price index for agriculture 2024, Prices and price index for agriculture 2023, Prices and price index for agriculture 2022, Prices and price index for agriculture 2021, Prices and price index for agriculture 2020, Prices and price index for agriculture 2019, Prices and price index for agriculture 2018, The purpose of these statistics is to illustrate the evolution of agricultural prices and price indices. The agricultural sales index illustrates price trends for both vegetable and animal sales products and services. A part of the statistics have been calculated since 1956, but since 1970 the most widely definition has been used, which includes horticulture, fur production and products from bees and wild game. , Statistical presentation, The Statistics contains for almost all items, monthly, quarterly and yearly information of agricultural prices, as well on sale products as on most products used in the intermediate consumption including capital formation. Some prices are only obtainable as price indices only, especially regarding intermediate consumption. The statistics covers both agriculture and horticulture. , Read more about statistical presentation, Statistical processing, Data for this statistics is collected at different frequencies from multiple sources. The collected data undergoes a simple validation. Once data is validated, aggregation occurs for a portion of data before publication, while other data is while other data is published directly. , Read more about statistical processing, Relevance, The statistics are used by agricultural organizations and ministries to monitor price developments within the industry as well as as a basis for various analyzes and forecasts. The basic data and results of the statistics are also applied to other statistical areas in Denmark Statistics, for example, for the calculation of the gross income of agriculture as used in the National Accounts., Read more about relevance, Accuracy and reliability, On some products, i.e. horticultural products, qualities and types are several and dynamic. It makes it a little difficult to be sure on the representatively on the prices followed. Concerning input prices based on general price statistics, the situation in agriculture are maybe not fully reflected. Some indices on volumes are indirectly measured based on values and price indices. This method can lead to inaccuracy. The declaration on content on Economic Account for Agriculture and these on animal production includes more information on possible inaccuracy. Because of the very different picture of sources, margins of statistical errors can not be calculated. However, for main output products, i.e. milk and meat, the coverage and accuracy are close to 100 per cent. Prices on cereals and feeding stuff (concentrates) are based on more that 70 per cent of total volume, which ensure high reliability. In general, the accuracy is highest on sales product and less high on intermediate consumption and goods for capital formation., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are usually published without any delay in relation to the published release times., Read more about timeliness and punctuality, Comparability, The statistics are comparable in their current form from 2005 onwards. The price indices are re-based approximately every five years, most recently in 2024 with base year 2020=100, which limits full comparability over long time periods. As of 2025, a new method for collecting fertiliser prices has been introduced, resulting in a data break affecting only the fertiliser price index. The overall price index for agricultural input consumption is still considered comparable over time. The statistics follow common European guidelines and are therefore comparable with similar statistics from other EU countries., Read more about comparability, Accessibility and clarity, These statistics are published annually in a Danish press release. In the StatBank, these statistics can be found under the subject , Prices and price index for agriculture, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/prices-and-price-index-for-agriculture

Documentation of statistics

Documentation of statistics: Adult Education Survey (AES)

Contact info, Population and Education, Social Statistics , Christian Johansen , +45 21 16 49 48 , CVJ@dst.dk , Get documentation of statistics as pdf, Adult Education Survey (AES) 2022 , Previous versions, Adult Education Survey (AES) 2016, Adult Education Survey (AES) 2011, The purpose of Adult Education Survey is to give a description of the adult populations participation in life long learning. The survey has been carried out in all EU-countries after the same guidelines. This makes the Adult Education Survey the best Danish survey for international comparisons on participation in the life long learning., Statistical presentation, The AES (Adult Education Survey) describes the adult Danish population's (aged 25-64 years) participation in life long learning activities, both in the formal and non-formal education system. Respondents answered among other things about the content of their ongoing education activities, the costs involved, and the volume of the education. , In the survey for 2022 the age group has been expanded from 25-64 to 18-69. , Read more about statistical presentation, Statistical processing, Data comes from interviews conducted in 2022 and 2023. 2.448interviews with persons in the age group 18-69 years have been conducted., The sample has been drawn from the Population register. The net sample size is 9058 persons., Read more about statistical processing, Relevance, AES is mainly used by public authorities and international organizations and it s the major detailed survey giving details about adults participation in life long learning activities on an international bases., Read more about relevance, Accuracy and reliability, The AES is in general a reliable survey. However, when analyzing data based on breakdown of several variables the basic number of respondents can be very small which increases the uncertainty considerably. Results from the AES survey can be used for labor market analysis, in research projects and in the public debate., Read more about accuracy and reliability, Timeliness and punctuality, The AES is in general published according to agreed timing., Read more about timeliness and punctuality, Comparability, Data from the EU countries are published by Eurostat. , Read more about comparability, Accessibility and clarity, The Danish AES is published in the news release of NYT fra Danmarks Statistik (News from Statistics Denmark) and in the StatBank Denmark. The main results of AES will are published by Eurostat in a common European report., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/adult-education-survey--aes-

Documentation of statistics

Documentation of statistics: National Accounts: Household Consumption Expenditure

Contact info, National Accounts, Climate and Environment, Economic Statistics , Mercedes Sophie Louise Bech , +45 51 53 61 56 , mcb@dst.dk , Get documentation of statistics as pdf, National Accounts Household Consumption Expenditure 2024 , Previous versions, Household final consumption expenditure (HFCE) is a central component of the national accounts and reflects households’ purchases of goods and services. The national accounts provide a comprehensive description of the economy as well as the transactions occurring between households, businesses, public institutions, and abroad., Consistent time series for annual HFCE figures are available from 1966, and quarterly figures are available from Q1 1990., Statistical presentation, The statistics cover household consumption of goods and services. The figures are presented in StatBank and Nyt fra Danmarks Statistik, giving users the opportunity to analyze consumption patterns and the contribution of different sectors to total household consumption., Read more about statistical presentation, Statistical processing, A set of economic statistics is used for the households final consumption expenditure. The first estimate for a period is prepared before all information is available and is based on the structure of the most recent final national accounts, with imputations using indicators such as short-term economic statistics. New sources are continuously incorporated according to a set schedule, and three years after the reference period, the national accounts and their functional distribution are considered final., Read more about statistical processing, Relevance, Household final consumption expenditure (HFCE) is relevant for all analyzing private consumption and its economic significance. This includes ministries and public authorities, which use HFCE for planning, trends, forecasts, and modelling; industry and interest organizations for analyzing consumption patterns; and researchers, journalists, and the public seeking insight into household consumption over time. User feedback is continuously considered to keep the statistics relevant and useful., Read more about relevance, Accuracy and reliability, Household final consumption expenditure (HFCE) depends on both uncertainty in the underlying data sources and on the assumptions applied. Some components, such as the retail trade statistics, are measured with relatively high precision, while others, such as imputed rent and undeclared (informal) work, are more uncertain. Initial estimates are there less precise, and subsequent revisions improve the accuracy and reliability of the HFCE., Read more about accuracy and reliability, Timeliness and punctuality, The first version of a preliminary annual national account for Households final consumption expenditure (HFCE) is published at the end of February the following year. The annual accounts are then revised in March and June, and again in June of the subsequent year. The final national accounts for HFCE are published two and a half years after the reference year., Read more about timeliness and punctuality, Comparability, Household final consumption expenditure (HFCE) is part of the national accounts and compiled according to international guidelines, ensuring cross-country comparability. Covering the period from 1966, it reflects households’ purchases of goods and services and is based on various underlying sources. Direct comparisons with other statistics can be difficult due to differing definitions, but HFCE is fully consistent with the overall national accounts., Read more about comparability, Accessibility and clarity, Information on household consumption expenditure is published in StatBank under the subjects Economy and National Accounts. The releases are accompanied by , Nyt fra Danmarks Statistik, , which provides current perspectives and selected commentary. , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/national-accounts--household-consumption-expenditure

Documentation of statistics