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Policy and action plan for gender equality

At Statistics Denmark, we are making an effort to attract and retain skilled and dedicated employees and we regard diversity in the composition of employees and management as a strong point. For that reason, we pursue:, Balance in the gender distribution among employees and managers at all levels. , Momentum in the development of talented male and female managers., Equal recruitment and career opportunities for women and men. , Elimination of gender bias in pay structures., Senior management levels, To us, gender equality is about the whole organisation, and we want to fuel a pipeline of talented executives and contribute to the public sector’s recruitment of both male and female executives., Baseline in figures, Male/female ratio in Statistics Denmark, Dec. 2023, Women, Men, The Supervisory Board, 62 per cent  (5), 38 per cent  (3), Senior management levels (The director general and the directors), 33 per cent  (2), 67 per cent  (4), Managers with personnel responsibilities (incl. chief advisers with personnel responsibilities, excl. the senior management level) , 33 per cent  (12), 67 per cent  (24), Employees (excl. managers and senior management level), 52 per cent  (279), 48 per cent  (258), Total, 51 per cent  (293), 49 per cent  (286), In the long term, we are aiming for at least 40 per cent of the under-represented sex on the Supervisory Board as well as the Executive Board. The target figures are based on the Danish act on equal treatment of men and women and apply to 2024-2028., Initiatives, To achieve our objectives, we are working on implementing tangible initiatives in the fields of recruitment and career., Recruitment, We want everyone irrespective of gender, to find our vacant positions attractive and we aim for a recruitment practice that provides equal employment opportunities irrespective of gender. For this purpose, we focus on the following:, We continuously focus on describing vacant positions and Statistics Denmark in a way that appeals to everyone irrespective of gender., We are working on preventing bias in the recruitment process and aim for both sexes to be represented on interview boards, and for at least one person of each sex to be invited for an interview., In collaboration with external experts in the area, we are building knowledge and awareness of the unconscious gender biases, focusing especially on managers, HR staff and others who make decisions about recruitment and career development. , Career, We want equal opportunities for everyone, irrespective of gender, to develop and be promoted in terms of both responsibilities and pay. This applies regardless of the different conditions of life, which may be gender-specific, e.g. in connection with parental leave. To achieve this objective, we support the dialogue on competence development, new assignments, increased responsibility and pay with, among other things, the following initiatives:, In connection with employee appraisal interviews, for example, we focus on making it clear for everyone what talent development opportunities the organisation offers, making it easier for everyone – regardless of gender – to see how they can develop their competences, ambitions and abilities to the benefit of both their personal career and the organisation., Before and after parental leave, we hold parental leave interviews to ensure that the employee returns from leave to assignments of a corresponding nature and complexity and does not experience a setback in his or her career because of the parental leave. In support of the interviews, HR has prepared material for the managers on the rules regarding parental leave as well as an interview guide., Managers, the Executive Board and the Joint Consultation Committee continuously focus on providing clear reasons for appointments and pay rises. It promotes transparency in the decision process and reduces the risk of unconscious gender bias affecting the decisions., We have made an effort to incorporate the continuous work on implementing the actions in the organisation’s existing processes to ensure the most extensive coherence possible with the general staff policy., Data support, We use relevant data and statistics to support our work towards gender equality. For example:, Each year, we prepare a gender equality report showing, for example, the gender distribution of different staff groups and management levels as well as gender-specific earnings statistics, which allows us to regularly assess the extent of the gender equality gap and the effect of initiatives., As part of surveying emotional health in the workplace and employee satisfaction in the organisation, permanent questions are included on gender-specific discrimination, harassment and offending actions. The survey is conducted every two years., Follow-up, The Executive Board regularly follows up on the initiatives and identifies any need to adjust the plan., Every year, the Executive Board and the Joint Consultation Committee discuss the gender equality status based on an annual gender equality report. The discussions lead to the identification of any need for new initiatives., The policy and action plan for gender equality has been approved by Statistics Denmark’s Executive Board.

https://www.dst.dk/en/OmDS/policy-and-action-plan-for-gender-equality

Documentation of statistics: Cultural Habits Survey

Contact info, Science, Technology and Culture, Business Statistics , Anders Yde Bentsen , +45 40 33 68 81 , AYB@dst.dk , Get documentation of statistics as pdf, Cultural Habits Survey 2025 , Previous versions, Cultural Habits Survey 2024, Cultural Habits Survey 2023, Cultural Habits Survey 2022, Cultural Habits Survey 2021, Cultural Habits Survey 2018-2021, Cultural Habits Survey 2018, Cultural Habits Survey 2012, Documents associated with the documentation, Spørgeskema for Kulturvaneundersøgelsen 2018-2023, faste spørgsmål (pdf) (in Danish only), Spørgeskema for Kulturvaneundersøgelsen 2024 (pdf) (in Danish only), Spørgeskema for Kulturvaneundersøgelsen 2025 (pdf) (in Danish only), The purpose of the Cultural Habits Survey is to document the cultural habits of the residents of Denmark. Culture is broadly defined, as the survey covers habits within the topics of culture, media and recreational activities, e.g. concerts, performing arts, cinema, literature, exercise, digital games and hobbies. The survey has been carried out regularly since 1964. Statistics Denmark has carried out the survey from 2018-2023 and in 2024-, while previous surveys have been carried out by the Ministry of Culture. The survey has been carried out with a new questionnaire since the first quarter of 2024, and is therefore not directly comparable with previous versions., Statistical presentation, The Cultural Habits Survey is an interview based quarterly survey among a random sample of Danish residents 16 years or older, which documents the consumption of cultural and recreational activities. The consumption of these activities may occur both in Denmark and abroad. The cultural consumption is grouped in various statistics by i.a. age, gender, education and degree of urbanisation. The current Cultural Habits Survey is ongoing and was first collected in the first quarter of 2024. The survey is communicated in Danish language press releases and in StatBank Denmark., Read more about statistical presentation, Statistical processing, The Cultural Habits Survey is an interview based quarterly survey among a random sample. The survey is carried out by both computer-assisted web interviews (CAWI) and computer-assisted telephone interviews (CATI). Approximately 4,800 responses are collected each quarter. The questionnaire is divided into a general part answered by all participants and four sub-parts, each answered by roughly a fourth of the respondents surveyed via CAWI. Using demographic information from Statistics Denmark's register of the Danish population, the respondents are weighted to compensate for non-response. Data is inspected for errors. A yearly dataset is compiled by the combination of the data for each quarter of the year., Read more about statistical processing, Relevance, The Cultural Habits Survey is carried out and developed in close cooperation with the Ministry of Culture and is the ninth in the series of the cultural habits of Danish residents carried out since 1964. The current survey accommodates a series of user needs, among which are more frequent statistics, the possibility for investigating geographic variation and the surveying of a broader definition of culture. The user needs have been identified through a thorough assessment of the Cultural Habits Survey 2018-2023. The assessment comprised the Ministry of Culture, researchers and users from public institutions., Read more about relevance, Accuracy and reliability, The Cultural Habits Survey is based on approximately 4,800 responses per quarter, which is a robust amount of data, contributing to lessening the sampling error. The error of the estimates are further reduced by the use of a mixed mode of data collection and multiple attempts at contacting each respondent. The error is however significantly greater for those questions which are part of the four sub-parts as these are each based on an amount of data roughly one fourth the size of the total amount., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published two months after the end of the reference period. The statistics are published without delay compared to scheduled publishing times., The statistic on membership for youth and outdoor activities organisations is published yearly in June, with data for the preceding year., Read more about timeliness and punctuality, Comparability, The survey has been carried out since 1964, but is in its current form only comparable with earlier versions to a limited degree. This is partly due to societal and technological changes and partly due to changes in the needs of users which has resulted in major revisions of the questionnaire in 2018 and 2024. The questionnaire is developed according to UN guidelines and is therefore partly comparable to statistics from other countries, among these the Nordic countries and EU countries., Read more about comparability, Accessibility and clarity, The statistics are published in a , Danish press release, . In the StatBank, the figures are published under , Cultural and recreational activities, . For more information, see the , topic page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/cultural-habits-survey

Documentation of statistics

Documentation of statistics: The importance of cultural and creative industries in the national economy

Contact info, Science, Technology and Culture, Business Statistics , Anders Yde Bentsen , +45 40 33 68 81 , ayb@dst.dk , Get documentation of statistics as pdf, The importance of cultural and creative industries in the national economy 2023 , Previous versions, The importance of cultural and creative industries in the national economy 2022, Documents associated with the documentation, Delimitation of activities (pdf), The purpose of the statistics on the economic importance of cultural and creative industries in the national economy is to show the significance of cultural and creative industries in the Danish economy, presented within a national accounting framework. Concepts from national accounts, such as production and gross value added (GVA), are linked to the classifications of cultural and creative industries. The aim is to reflect not only the direct activities within the cultural and creative industries but also the indirect activities taking place in other sectors that support them., Statistical presentation, The statistics convert activity in the cultural and creative industries at the most detailed level of the Danish Industrial Classification 2007 into the national accounts' industry classification and national accounting concepts such as production and gross value added. This alignment with the national accounts' industry groupings enables both an input-output model calculation of indirect effects in other industries supporting cultural and creative production, and a comparison of key figures with those for other parts of the Danish economy. The results are categorized by cultural subjects and creative industries., Read more about statistical presentation, Statistical processing, The statistics link the production in selected 6-digit activity codes from the Danish Industrial Classification 2007, which cover cultural and creative industries, to the production in the 117-industry classification of the national accounts. This enables the use of an input-output model to calculate the indirect effects in other industries. The indirect effects in sectors other than the cultural and creative industries are calculated by integrating the cultural and creative production into an input-output model. The calculations are based on ESA2010 and the supply and use matrices of the national accounts, which underpin the official national account figures., Read more about statistical processing, Relevance, The cultural industry has significant non-market activity, as well as considerable direct and indirect government support and contributions from private foundations. This statistics can capture these aspects and provide more accurate figures for the sector's economic impact, taking these factors into account. The statistics are based on a value chain approach, distinguishing between the arts, culture etc., are produced and practiced, as well as activities surrounding the creative and performed activities, such as wholesale, retail, distribution, etc. The statistics provide insights into the significance of the various components., Read more about relevance, Accuracy and reliability, The statistics are based on sources with uncertainties, such as weights from the General Enterprise Statistics and trade in goods and services, as well as assumptions made in the construction of national accounts and input-output tables. Preliminary versions of the most recent reference year contribute to additional uncertainty. The input-output table and model assumptions result in lower precision compared to directly observed data., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately three months after the release of a new reference year for the input-output tables and the final national accounts, which usually occurs at the end of June, i.e., approximately 20 months after the end of the reference year. This includes the release of both preliminary and final figures., The input-output tables are published once a year, simultaneously with the release of the final national accounts. The publication date for the final reference year is 2.5 years after its conclusion. The two preliminary years are published at the same time as the final year, 2.5 years after the end of the reference year., Read more about timeliness and punctuality, Comparability, The statistics cover the period 2014 to 2022 with final statistics, as well as 2023 with preliminary statistics. The statistics are comparable across the entire period. , It is possible to find statistics on the economy and employment in the cultural sector in other countries, even though there are no international guidelines for producing this type of statistics. The EU, Eurostat, and UNESCO also regularly publish reports that overlap thematically with these statistics and the cultural sector in general., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press realease, at the same time as the tables are updated in the StatBank. In the StatBank these statistics can be found under the subject , Economy in the cultural field, ., For more information, visit the topic page , Economy in the cultural field, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/the-importance-of-cultural-and-creative-industries-in-the-national-economy

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: 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: Employees (monthly)

Contact info, Labour Market , Thomas Thorsen , +45 23 69 94 27 , TST@dst.dk , Get documentation of statistics as pdf, Employees (monthly) 2024 Month 07 , Previous versions, Employees (monthly) 2024 Month 06, Employees (monthly) 2024 Month 05, Employees (monthly) 2024 Month 04, Employees (monthly) 2024 Month 03, Employees (monthly) 2024 Month 02, Employees (monthly) 2024 Month 01, Employees (monthly) 2023 Month 12, Employees (monthly) 2023 Month 11, Employees (monthly) 2023 Month 10, Employees (monthly) 2023 Month 09, Employees (monthly) 2023 Month 08, Employees (monthly) 2023 Month 07, Employees (monthly) 2023 Month 06, Employees (monthly) 2023 Month 05, Employees (monthly) 2023 Month 04, Employees (monthly) 2023 Month 03, Employees (monthly) 2023 Month 02, Employees (monthly) 2023 Month 01, Employees (monthly) 2022 Month 11, Employees (monthly) 2022 Month 10, Employees (monthly) 2022 Month 09, Employees (monthly) 2022 Month 08, Employees (monthly) 2022 Month 07, Employees (monthly) 2022 Month 06, Employees (monthly) 2022 Month 05, Employees (monthly) 2022 Month 04, Employees (monthly) 2022 Month 03, Employees (monthly) 2022 Month 02, Employees (monthly) 2022 Month 01, Employees (monthly) 2021 Month 12, Employees (monthly) 2021 Month 11, Employees (monthly) 2021 Month 10, Employees (monthly) 2021 Month 09, Employees (monthly) 2021 Month 08, Employees (monthly) 2021 Month 07, Employees (monthly) 2021 Month 06, Employees (monthly) 2021 Month 05, Employees (monthly) 2021 Month 04, Employees (monthly) 2021 Month 03, Employees (monthly) 2021 Month 02, Employees (monthly) 2021 Month 01, Employees (monthly) 2020 Month 12, Employees (monthly) 2020 Month 11, Employees (monthly) 2020 Month 10, Employees (monthly) 2020 Month 09, Employees (monthly) 2020 Month 08, Employees (monthly) 2020 Month 07, Employees (monthly) 2020 Month 06, Employees (monthly) 2020 Month 05, Employees (monthly) 2020 Month 04, Employees 2018 Month 08, Employees 2018 Month 07, Employees 2018 Month 06, Employees 2018 Month 04, Employees 2018 Month 03, The purpose of these statistics is to clarify the short-term development in the employment of employees in Danish enterprises. The statistics contains employment data from the beginning of 2008. , Statistical presentation, The employment statistics for employees is published on a quarterly and monthly basis. The statistics shows the development in the number of people with employee job. On a quarterly basis the number of full-time employees is also published. The statistics is distributed by sector and industries both in the monthly statistics and in the quarterly statistics. Furthermore, workplace geography, residence geography, age, sex and ancestry is also illustrated on a quarterly basis., Read more about statistical presentation, Statistical processing, Data are debugged, adjusted and quality guaranteed in relation to breakdowns on industry, sector and geography. Data for both the number of full-time employees and number of people with employee job is seasonally adjusted, broken down by both industry, sector and geography on residence., Read more about statistical processing, Relevance, Users interested in the social and economic statistics have expressed satisfaction with the quality of the statistics., Read more about relevance, Accuracy and reliability, The uncertainty in the development of the number of employees is estimated to be less than 1 per cent of the total number of full-time employees, where 1 per cent corresponds to approx. 20,000 full-time employees. As regards more detailed statistics in terms of industry and geographical distribution the uncertainty is much greater. For the monthly statements there has not yet been a systematic quality studies of statistics. Compared to the quarterly statements of full-time employees, there are two factors pulling in opposite directions: on the one hand, the monthly statements are published earlier, leading to increased uncertainty, because fewer reports has been reported at that time. On the other hand, jobs are imputed for periods where the employees for up to 45 days have not received wages, but subsequently returned to the same employer in the calculation of persons with employee jobs, which helps to reduce uncertainty., Read more about accuracy and reliability, Timeliness and punctuality, The preliminary figures of the monthly statistics are published approx. 52 days after the end of the reference month. These statements are revised every month until final estimates are released in the quarterly statistics., The preliminary employment statistics for employees are published approx. 52 days after the end of the quarter. The revised statement will be published within 3 months after the reference quarter and the final statement 3 months later together with the new preliminary data for the following quarter. There is usually no delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, There are no changes in methodology since these statistics where first introduced. Data are comparable during the whole period., Read more about comparability, Accessibility and clarity, These statistics are published monthly 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 , Employees, . For further information, go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/employees--monthly-

Documentation of statistics

Documentation of statistics: Public sector employment (quarterly)

Contact info, Labour Market, Social Statistics , Mads Housø Hansen , +45 24 43 40 61 , MHU@dst.dk , Get documentation of statistics as pdf, Public sector employment (quarterly) 2024 Quarter 4 , Previous versions, Public sector employment (quarterly) 2024 Quarter 3, Public sector employment (quarterly) 2024 Quarter 2, Public sector employment (quarterly) 2024 Quarter 1, Public sector employment (quarterly) 2023 Quarter 4, Public sector employment (quarterly) 2023 Quarter 3, Public sector employment (quarterly) 2023 Quarter 2, Public sector employment (quarterly) 2023 Quarter 1, Public sector employment (quarterly) 2022 Quarter 4, Public sector employment (quarterly) 2022 Quarter 3, Public sector employment (quarterly) 2022 Quarter 2, Public sector employment (quarterly) 2022 Quarter 1, Public sector employment (quarterly) 2021 Quarter 4, Public sector employment (quarterly) 2021 Quarter 3, Public sector employment (quarterly) 2021 Quarter 2, Public sector employment (quarterly) 2020 Quarter 4, Public sector employment (quarterly) 2020 Quarter 3, Public sector employment (quarterly) 2020 Quarter 2, Public sector employment (quarterly) 2020 Quarter 1, Public sector employment 2018 Quarter 3, Public sector employment 2018 Quarter 2, Public sector employment 2018 Quarter 1, Public Employment Statistics 2017 Quarter 4, Public Employment Statistics 2017 Quarter 3, Public Employment Statistics 2017 Quarter 1, Public Employment Statistics 2016 Quarter 3, Public Employment Statistics 2014 Quarter 4, Public Employment Statistics 2015 Quarter 1, Public Employment Statistics 2015 Quarter 2, Public Employment Statistics 2015 Quarter 3, Public Employment Statistics 2015 Quarter 4, Public Employment Statistics 2016 Quarter 1, Public Employment Statistics 2016 Quarter 2, Public Employment Statistics 2016 Quarter 4, Public Employment Statistics 2014 Quarter 3, Documents associated with the documentation, Notat om revision af COFOG (pdf) (in Danish only), The public employment statistics cover general government sector and its subsectors. The statistics are published quarterly and are distributed by subsector and by purpose. The classification by purpose follows the classification COFOG (Classification of the functions of Government)., Statistical presentation, The statistics publish quarterly the number of full-time employees in general government sector. The statistics are broken down by subsector and the COFOG classification., Read more about statistical presentation, Statistical processing, The data source of the statistics is the eIncome Register of Statistics Denmark. This is combined with information on e.g. public account numbers from public reports., Data are always quality controlled at a cross-level between COFOG and the subsectors of general government. , The COFOG distributions are revised occasionally and data are revised in accordance with the data source. Time-series are seasonally adjusted., Read more about statistical processing, Relevance, Among users of the statistics are ministries, government agencies and municipalities, various organizations, researchers, politicians and others interested in the development of employment and the number of staff employed within the general government sector., Read more about relevance, Accuracy and reliability, The data source of the statistics is the eIncome Register of Statistics Denmark which is the main data source for register-based employment statistics published by Statistics Denmark. This register is considered as highly reliable., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are expected to be published without any delay in relation to the time for publication announced., Read more about timeliness and punctuality, Comparability, Comparable data are available based on the new statistics from first quarter 2008 onwards. Based on the former statistics historical data are available for the period first quarter 2002 until fourth quarter 2012., Read more about comparability, Accessibility and clarity, The statistics are published in News from Statistics Denmark and in the database Statbank Denmark., Table OBESK1, ,, Table OBESK2, ,, Table OBESK3, and, Table OBESK4, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/public-sector-employment--quarterly-

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: Absence from work

Contact info, Labour Market, Social Statistics , Nete Nielsen , +45 40 10 48 87 , NDN@dst.dk , Get documentation of statistics as pdf, Absence from work 2024 , Previous versions, Absence from work 2023, Absence from work 2022, Absence from work 2021, Absence from work 2020, Absence 2019, Absence 2018, Absence 2017, Absence 2016, Absence 2015, Absence 2014, Absence 2013, Absence 2012, The purpose of the statistics of absence is to describe the amount of work that is lost due to absence. Absence is divided into "Own sickness", "Children's sickness", "Occupational injury" and "Maternity and adoption leave". The statistics are published on a yearly basis and are used for estimating and comparing the level of absence within different groups of employees., Statistical presentation, The statistics of absence are published yearly for the governmental sector, the local governmental sector and the private sector. Statistics according to the new sector definition from 2013 are also published for the labour market as a whole. The absence is grouped by the variables occupation, education, industry, region, age and sex. From 2013 own sickness is published by lengths of period. In the governmental and municipal sector all employees are included while the private sector is described by a representative sample of enterprises with 10 or more employees., Read more about statistical presentation, Statistical processing, On a yearly bases information on absence is collected from all of the public sector and from a sample 2600 private enterprises with 10 or more employees. After validating the absence data the periods of absence are connected to the job from which the person was absent. The information about the extent of the employment is found in the earnings statistics. The information on absence from the private sector is enumerated to the total population of enterprises with 10 employees or more., Read more about statistical processing, Relevance, Absence has both personal and economic consequences that have an impact on both employees, employers and the community. The statistics are tools used in estimating and comparing the level of absence within different groups of employees, and can be a foundation on which economic and political decisions are made. The statistics are of interest for the central government, municipalities and regions, private business enterprises, non-governmental organizations, researchers and news media. , Read more about relevance, Accuracy and reliability, The governmental and local government sector in principle include all employed persons. For these sectors there is immeasurable inaccuracy mainly caused by measuring errors., The private sector is based on a representative sample of about 2600 enterprises. The inaccuracy can be divided into sampling inaccuracy and the immeasurable inaccuracy that derives from measuring errors. The total absence rate for own sickness is determined with a 95 percent confidence interval to vary around +/- 0.05 percent. Sampling errors for divisions on e.g. gender or industry are considerably higher., Read more about accuracy and reliability, Timeliness and punctuality, The statistics of absence refers to the whole year to which the absence periods belongs The statistics is published on a yearly basis at the end of October following the reference period. The information is published without delay compared to schedule., Read more about timeliness and punctuality, Comparability, The statistics of absence for the central governmental sector covers the year 2003 and forward, while the first data for the local governmental sector was published for the year 2005. The statistics for the private sector covers the period from 2007 and forward. From 2010 the municipality sector and the regional sector are published separately. Before 2010 the two sectors were only published together., The method and quality of data have continuously been improved especially the first years of the statistics. Comparisons between sectors and years (especially the earliest published data) should only be made with reservations., Read more about comparability, Accessibility and clarity, The latest results are published once a year in a Danish press release, at the same time as tables are updated in the StatBank. In the StatBank, these statistics can be found under the subject , Absence from work, . It is possible to buy more detailed results and to get access to micro-data through Statistics Denmark's Research services., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/absence-from-work

Documentation of statistics

Documentation of statistics: Balance of Payments

Contact info, External Economy, Economic Statistics , Maria José Alvarez Pelaez , +45 30 66 03 21 , MJP@dst.dk , Get documentation of statistics as pdf, Balance of Payments 2024 , Previous versions, Balance of Payments 2023, Balance of Payments 2022, Balance of Payments 2021, Balance of Payments 2020, Balance of Payments 2019, Balance of Payments 2018, Balance of Payments 2017, Balance of Payments 2016, Balance of Payments 2015, Balance of Payments 2014, Documents associated with the documentation, Omlægning af tabeller om betalingsbalance og udenrigshandel i Statistikbanken juni 2024 (pdf) (in Danish only), The balance of payments describes the economic transactions between Denmark and the rest of the world. The balance of payments for Denmark has been compiled since 1934, with a continuous time series available since 2005. Today the main emphasis is placed upon incomes and expenses in relation to foreign countries. Originally, the most important item was the foreign debt, which is compiled as part of the International Investment Position (IIP) – Denmark’s external assets and liabilities. Since 1991 the IIP has been compiled by Danmarks Nationalbank. The balance of payments statistics are compiled in cooperation between Danmarks Nationalbank and Statistics Denmark, the latter being responsible for publishing the consolidated statistics. , Statistical presentation, The balance of payments records the value of the economic transactions, which are made within a given period between the Danish balance of payments area and the rest of the world. There are three main accounts: the current account (trade in goods and services, primary and secondary income), the capital account and the financial account (arranging debts and receivables with foreign countries). The statistics shows the geographical distribution (counterpart countries). Danmarks Nationalbank compiles the financial account and the investment income of the balance of payments., Read more about statistical presentation, Statistical processing, The statistics are primarily compiled based on other statistics. The sources are used directly and as a basis for calculations of developments. Validation of the sources mainly occurs during the preparation of other statistics, but special validations are carried out across selected sources to ensure consistency between the sources. The validation particularly targets businesses' international organization of production. The sources are processed so that monthly balance of payments statements can be produced, even if some sources are compiled quarterly or annually. , Read more about statistical processing, Relevance, The publication of the balance of payments, particularly the monthly statement, often attracts significant public interest. The statistics are especially used by ministries, politicians, and economic stakeholders. The balance of payments is also used in the compilation of national accounts., Read more about relevance, Accuracy and reliability, The compilation of the balance of payment is mainly based on other statistics. Accordingly, the accuracy of the balance of payments statistics is very much dependent upon these statistics. Most importantly, there will be uncertainty associated with the first compilations of a period, as important information only becomes available later. Coverage is high as there is a particular focus on coverage in the largest sources. The biggest source of error is measurement errors in the sources that are survey-based. Ongoing validation is performed, so the accuracy of the first publications is lower as it takes time to resolve the validations. The calculations and model assumptions in the compilation are not considered to affect the overall accuracy of the main items in the balance of payments., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published quarterly, approximately 40 days after the end of the reference period. Main results are published monthly, approximately 40 days after the end of the relevant month. The final statistics are published approximately three years after the end of the reference period. Punctuality is exceptionally high. , Read more about timeliness and punctuality, Comparability, The compilation of the balance of payments follows the IMF's manual and is compiled back to 2005. There is thus comparability with other countries following the same manual and back to 2005. For the detailed items, there is no comparability with the series before 2005. The statistics on International Trade in Services are directly included in the compilation of the balance of payments. For International Trade in Goods, there are methodological differences, so there is a discrepancy between the two statistics. The balance of payments is part of the national accounts and is directly included as the sector rest of the world in the sector account of the national accounts., Read more about comparability, Accessibility and clarity, The latest figures are published in a monthly news article "Nyt from Statistics Denmark," and all figures can be found in the Statistics Bank. The balance of payments also has dedicated , homepage, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/balance-of-payments

Documentation of statistics