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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

Statistics Denmark's press and media policy

The press and media policy sets the framework for Statistics Denmark’s cooperation with the media and our approach to working with the press. It must ensure that Statistics Denmark’s relations and contact with the media is professional and in keeping with the fundamental principles of the organisation., Principles, Statistics Denmark is a transparent, accessible and communicating institution, and the press is one of our key stakeholders., Therefore, we will build and maintain good relations with the press by offering professional high quality service. This applies when we disseminate new sets of statistics, when we approach the press, and when the press contacts us., Trustworthiness, We will maintain and extend our trustworthiness by giving the press easy access to relevant and correct statistics. If we are unable to do so, we explain why., Competence, As a general rule, the employee most familiar with the subject is the spokesperson. , Timeliness, We help the press as soon as possible. We answer any enquiry during regular working hours as soon as possible and preferably on the same day. If we are unable to answer the request on the same day, we communicate this., Accessibility, We aim to make it quick and easy to get in touch with the right employee during working hours. Outside working hours, the press can get in touch with the head of communication or the head of press, who will estimate the possibilities for further contact., User focus, We provide the same high level of service to all journalists regardless of the type of media, and we are mindful of the conditions under which journalists operate - including deadlines. We aim to see the potential and relevant stories in what we are working with and communicate clearly with an eye for the receiver., Contact with the press, In principle, all employees can speak to the press about their own area of expertise., Employees of Statistics Denmark do not offer any opinion, we contribute only facts and put them into perspective. Nor do we comment on the data of other institutions., Publication of statistics, Statistics Denmark uses various channels to publish statistics, including tables in Statbank Denmark, the news series ‘Nyt fra Danmarks Statistik’ and different types of publications etc. The planned release time appears from the list of , scheduled releases, . , Statistics Denmark does not release statistics to the media or anyone else prior to the release time – nor in the form of content provided with a clause., Special data extractions, We send supplementary numbers and data extractions to the press free of charge, provided that it is already available in the statistical division or can be obtained within four working hours, and provided that the task in general can be accommodated within the daily work. , Errors and source references, If Statistics Denmark becomes aware of incorrect or misinterpreted mention of our statistics in the press or elsewhere, we contact the relevant media immediately. We also respond if a media uses our statistics without acknowledging Statistics Denmark., Statistics Denmark is independent of political and other interests, and we aim to present our statistics in a neutral way. Sometimes media, researchers or analysts select, combine or present our data in a way that is different from ours. Sometimes they also do graphics work based on our data. As long as the use of the data is not misleading, Statistics Denmark can still be indicated as a source. If there are other sources than Statistics Denmark for e.g. a chart or a table, we want the other sources to be indicated as well., If the media process our data, e.g. by combining new concepts or classifications, it must be stated that the data has been processed, e.g. by writing “Source: Own calculations based on data from Statistics Denmark”. This also applies when researchers or analysts have processed data from Statistics Denmark and receive press coverage., The principles for source references are the same for publicly available data as for data purchased from or compiled via Statistics Denmark., Handling of errors, Occasionally, we make errors or detect omissions in our products. In this event, we correct the statistics immediately and are transparent about it., Competence enhancement, We regularly make presentations to journalists to introduce them to using our statistics. Journalists are welcome to contact us for an introduction., We collaborate with the education programmes in journalism in Odense, Aarhus and Roskilde. We introduce the students to Statistics Denmark in general, how to find stories in the statistics as a journalist and how to avoid common pitfalls.

https://www.dst.dk/en/presse/danmarks-statistiks-pressepolitik

Documentation of statistics: Population Projections

Contact info, Population and Education, Social Statistics , Annika Klintefelt , +45 23 31 14 33 , AKF@dst.dk , Get documentation of statistics as pdf, Population Projections 2025 , Previous versions, Population Projections 2024, Population Projections 2023, Population Projections 2022, Population Projections 2021, Population Projections 2020, Population Projections 2019, Population Projections 2018, Population Projections 2017, Population Projections 2016, Population Projections 2015, Population Projections 2014, A population projection gives an estimate of the size and composition of the future population with respect to sex, age, municipality and origin. The estimate is subject to a number of conditions and assumptions on migration, mortality and fertility. The projection is based on the assumption that the development in recent years continues. Often the development in e.g. in-migration is different from what was assumed and, for that reason, the projection will typically not match the actual development exactly., Statistics Denmark has prepared population projections since 1963. Since 2010, the projections have been produced in collaboration with DREAM (Danish Research Institute for Economic Analysis and Modelling), which is an independent institution whose purpose it is to develop and maintain tools for structural policy analysis. , Statistical presentation, Based on the projection for all of Denmark, Statistics Denmark subsequently makes projections that can be disaggregated by sex, age, provinces and municipalities. As part of the projections, figures are also available on demographic changes in terms of liveborn children, deaths, immigrants and emigrants., Read more about statistical presentation, Statistical processing, The population projections are based on historical data regarding the composition of the population in terms of sex, age and ancestry as well as fertility, mortality, immigration and emigration, and internal migration., Assumptions on the future development in fertility, mortality and migration are necessary to be able to make the projections., The projections are made every year using the population on 1 January. They are released in the beginning of May., A projection is made for the whole country as well as projections for the 11 provinces and 98 municipalities., Read more about statistical processing, Relevance, The projections for municipalities are widely used by the municipalities, and they create the basis for the municipalities’ own projections, which often incorporate a number of local factors that are not part of Statistics Denmark’s projections. The municipalities may use the projections in their planning of institutions, schools and the need for nursing homes in the future. Local media across the country take great interest in Statistics Denmark’s projection., Read more about relevance, Accuracy and reliability, The population projection is built on previous years’ development and is an estimate of the population development. The estimate is subject to a number of conditions and assumptions on migration, mortality and fertility. The projection is based on the assumption that the development seen in recent years will continue. Often the development in e.g. in-migration is different from what was assumed and, for that reason, the projection will typically not match the actual development exactly., In 2024 the projection for Denmark was 0.1 percentage points below actual population growth. To a wide extent, the uncertainty at municipal level is linked to the fact that local development plans and local decisions are not part of the model. Especially in 2020 and 2021, the COVID-19 pandemic has created uncertainty. In 2024, 60 per cent of the municipalities were within minus 0.5 percentage points of the actual population growth the first year. , Read more about accuracy and reliability, Timeliness and punctuality, Statistics have been published as announced without delay in the month of May or June., Read more about timeliness and punctuality, Comparability, Each projection is a new set of statistics and must not be used for time series together with previous projections., With the projection 2010, Statistics Denmark made the projection for all of Denmark for the first time in collaboration with DREAM, and in connection with this, a switch was made to a new projection model based on DREAM’s previous model., Read more about comparability, Accessibility and clarity, The population projections are published in Nyt fra Danmarks Statistik (Statistics Denmark’s news series in Danish) under the subject , Population projections, . For further information, go to the subject page for these statistics., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/population-projections

Documentation of statistics

Documentation of statistics: National Accounts: Quarterly

Contact info, National Accounts, Climate and Environment, Economic Statistics , Oliver Nygaard Sørensen , +45 51 83 40 39 , ons@dst.dk , Get documentation of statistics as pdf, National Accounts Quarterly 2025 Quarter 3 , Previous versions, National Accounts: Quarterly 2025 Quarter 2, The quarterly national accounts provide a comprehensive and up-to-date description of the economy and its development. The main focus is on short-term economic fluctuations, making it particularly useful for business cycle analysis, assessing economic conditions, and as a basis for economic models and forecasts. The statistics describe the economy as a whole, including transactions between households, businesses, and institutions, as well as transactions between Denmark and abroad. It has been compiled since 1988 and is fully comparable from first quarter 1990., Statistical presentation, The quarterly national accounts provide an overview of short-term activities and developments in the Danish economy. The quarterly national accounts include figures for key aggregates such as gross domestic product (GDP), private consumption, public consumption, investment, exports and imports, employment and wages, as well as profits and productivity across different industries. In addition, quarterly figures are available for a wide range of subcategories that can shed light on business cycle developments in the economy., Read more about statistical presentation, Statistical processing, The quarterly national accounts are compiled based on almost all short-term statistics that describe sub-areas of the economy and employment. When the first estimate for a given period is prepared, not all information for that period is yet available. The calculations are therefore based on the structure of the recent final national accounts, which are projected using indicators from, for example, short-term statistics. As new sources become available, they are gradually incorporated into the quarterly national accounts according to a fixed schedule., Read more about statistical processing, Relevance, The quarterly national accounts are relevant for anyone working with short-term and cyclical macroeconomic conditions. The use of the quarterly accounts ranges by the economic ministries for planning, analysis, forecasting, and modelling purposes, to similar uses by business organisations and other interest groups, as well as for the public’s interest in understanding the structure and development of the economy., Feedback from users is continuously evaluated through the Economic Statistics user Committee, user group meetings, direct contact with users, and through international forums., Read more about relevance, Accuracy and reliability, The quarterly national accounts’ ability to accurately describe the economic reality depends partly on the uncertainty associated with the sources. Some areas are measured more precisely than others due to better source data. Initial releases may lack data or be preliminary, and errors in sources or their combination with the national accounts system can affect reliability. Unforeseen economic shocks can increase uncertainty, but the accounts system’s consolidation of information helps reduce it., Read more about accuracy and reliability, Timeliness and punctuality, The first version of the quarterly national accounts is published 50 days after the end of the quarter, and a revised version is published 90 days after the end of the quarter. In connection with the publication of the fourth quarter at the end of February, the first version of the annual national accounts is also released. The national accounts are published on schedule., Read more about timeliness and punctuality, Comparability, The quarterly national accounts follow international guidelines (ESA 2010, implemented in 2014) and are comparable across countries. They cover all parts of the economy, and most economic statistics have their counterpart here. However, caution is advised when comparing with other statistics due to differences in definitions and coverage. The national accounts are fully consistent with the balance of payments and general government., Read more about comparability, Accessibility and clarity, The quarterly national accounts statistics are published in the StatBank under , Economy, and National accounts. The publications are accompanied by , Danish press releases, - in Danish., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/national-accounts--quarterly

Documentation of statistics

Documentation of statistics: Job Vacancies

Contact info, Labour Market, Social Statistics , Monica Wiese Christensen , +45 21 73 34 69 , MWC@dst.dk , Get documentation of statistics as pdf, Job Vacancies 2025 Quarter 3 , Previous versions, Job Vacancies 2025 Quarter 2, Job Vacancies 2025 Quarter 1, Job Vacancies 2024 Quarter 4, Job Vacancies 2024 Quarter 3, Job Vacancies 2024 Quarter 2, Job Vacancies 2024 Quarter 1, Job Vacancies 2023 Quarter 4, Job Vacancies 2023 Quarter 3, Job Vacancies 2023 Quarter 2, Job Vacancies 2023 Quarter 1, Job Vacancies 2022 Quarter 4, Job Vacancies 2022 Quarter 3, Job Vacancies 2022 Quarter 2, Job Vacancies 2022 Quarter 1, Job Vacancies 2021 Quarter 4, Job Vacancies 2021 Quarter 3, Job Vacancies 2021 Quarter 2, Job Vacancies 2021 Quarter 1, Job Vacancies 2020 Quarter 4, Job Vacancies 2020 Quarter 3, Job Vacancies 2020 Quarter 2, Job Vacancies 2020 Quarter 1, Job Vacancies 2019 Quarter 4, Job Vacancies 2019 Quarter 3, Job Vacancies 2019 Quarter 2, Job Vacancies 2019 Quarter 1, Job Vacancies 2018 Quarter 4, Job Vacancies 2018 Quarter 3, Job Vacancies 2018 Quarter 2, Job Vacancies 2018 Quarter 1, Job Vacancies 2017 Quarter 4, Job Vacancies 2017 Quarter 3, Job Vacancies 2017 Quarter 2, Job Vacancies 2017 Quarter 1, Job Vacancies 2016 Quarter 4, Job Vacancies 2016 Quarter 3, Job Vacancies 2016 Quarter 2, Job Vacancies 2016 Quarter 1, Job Vacancies 2015 Quarter 4, Job Vacancies 2015 Quarter 3, Job Vacancies 2015 Quarter 2, Job Vacancies 2015 Quarter 1, Job Vacancies 2014 Quarter 4, The purpose of the statistics is to analyze the development in the number of job vacancies held by employers in the Danish labour market. The job vacancy statistics is an important labour market indicator as businesses typically reduce the number of job vacancies before they begin the dismissal of employees. Data on job vacancies is collected in accordance with similar guidelines by all EU Member States, which implies that the statistics are suitable for comparing the development in the number of job vacancies across the EU Member States., Statistical presentation, The statistics shows the quarterly development in the real number of job vacancies and job vacancy rates in relation to the sum of job vacancies and occupied posts in the Danish labour market. The statistics are broken into economic activity and size, which makes it possible to monitor and analyse the scope and structure of the demand for labour by industry and size level of the workplaces. Furthermore, the number of job vacancies and job vacancy rates at regional level are estimated., Read more about statistical presentation, Statistical processing, The statistics are compiled with use off a digital questionnaire, with a quarterly survey population of approximately 7,000 local units . Data are corrected for errors and for not reported data an imputation is conducted. , Read more about statistical processing, Relevance, The users of the statistics are primary the press, private companies, private persons and Eurostat. The statistic is used in analysis about the demand for labour and in the public debate. Data on job vacancies are collected in accordance with similar guidelines by all EU Member States, which implies that the statistics are suitable for comparing the development in the number of job vacancies across the EU Member States., Read more about relevance, Accuracy and reliability, As with all other sample-based statistics, there are some sample errors associated with the estimates. As is the case in other EU Member States, the variation coefficient (CV), which is the standard deviation in relation to the estimate, is used in calculating the sample errors. For the total number of occupied posts the variation coefficient normally is under 1 per cent, while for the total number of job vacancies the variation coefficient is 3-5 per cent. For the NACE sections and size classes the CV are relatively high. This is due to the great variations between the number of job vacancies reported and the many data reported concerning zero vacancies.., Read more about accuracy and reliability, Timeliness and punctuality, Data are released around 75 days after the reference quarter. The punctuality is very high, as delays in planned releases happen very rarely., Read more about timeliness and punctuality, Comparability, From the third quarter of 2012 a new more updated population is used in the enumeration process. The population is drawn from the ESR-register and contains information on the number of occupied posts, which are only three quarters old compared to the former population which was based on a less updated register. The changed enumeration process is estimated to have impact on the number of job vacancies, but not on the JVR (Job Vacancy Rate), which means that the number of job vacancies are not comparable historically in contrast to the JVR., Read more about comparability, Accessibility and clarity, Data are published quarterly in News from Statistics Denmark. Figures are published in the tables , LSK01, , , LSK02, and , LSK03, . See more at the statistics subject page , Job vancancies, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/job-vacancies

Documentation of statistics

Documentation of statistics: National Accounts: Annual

Contact info, National Accounts, Climate and Environment, Economic Statistics , Christina Just Brandstrup , +45 21 45 52 79 , CJB@dst.dk , Get documentation of statistics as pdf, National Accounts Annual 2024 , Previous versions, National Accounts 2023, National Accounts 2022, National Accounts 2021, National Accounts 2020, National Accounts 2019, National Accounts 2018, Annual national accounts, total economy 2017, Annual national accounts, total economy 2016, Annual national accounts, total economy 2015, Annual national accounts, total economy 2014, Annual national accounts, total economy 2013, The national accounts are a description of a country's economy and its development. It consists of a description of the economy as whole and the economic transactions between individuals, companies and institutions. The national accounts also include transactions between Denmark and abroad. The first Danish national accounts date back to the 1930's. Consistent time series of annual national accounts goes back to 1966, while quarterly national accounts are available as of first quarter 1990., Statistical presentation, The National Accounts provide an overview of the activities and developments in the Danish economy. The statistics include figures for economic aggregates such as gross domestic product (GDP), household consumption, government finances, investment, export and import, employment and wages, and profits and productivity in the various industries. In addition, there are figures for the many subdivisions that can illuminate different 'sections' throughout the Danish economy., Read more about statistical presentation, Statistical processing, Virtually all available economic statistics are applied as data sources when making the national accounts. When the first version for a given period is prepared, it takes place before all information about the period is available. Then the calculations are made on the basis of the structure of the latest final national accounts, which is projected with indicators from, for example, cyclical statistics. When new sources are ready, they are continuously incorporated into the national accounts according to a fixed rhythm. Three years after a given period, the national accounts are considered to be final., Read more about statistical processing, Relevance, The National Accounts are relevant to anyone involved in economic matters ranging from the economic ministries use of the National Accounts in planning, analysis, forecasting and modeling purposes for industry organizations and other similar organizations, to the general interest in knowledge of the economy’s structure and development. The National Accounts division is evaluating feedback from users at an ongoing basis., Read more about relevance, Accuracy and reliability, The ability of the National Accounts to describe the economic reality accurately partly depends on the uncertainty associated with the sources and partly on the model assumptions underlying the calculation of the national accounts. Some parts can be calculated more accurately than others, as there is better access to source data. The first versions for a period's national accounts will be more uncertain than the final version, which comes after three years, as new sources are continuously revised., Read more about accuracy and reliability, Timeliness and punctuality, The first version of the quarterly national accounts is published 50 days after the end of the quarter. In connection with the publication of the fourth quarter at the end of February, the first version of the annual national accounts is also published. Almost two and a half years after the end of the year, the final annual and quarterly national accounts are published in June. The national accounts are published in a timely manner., Read more about timeliness and punctuality, Comparability, The national accounts are prepared in accordance with international guidelines and will therefore be comparable across countries. The current guidelines were implemented in 2014 and are used to revise the national accounts back to 1966. The national accounts reflect all parts of the economy, so most economic statistics contain figures that have their counterparts in the national accounts. However, be careful to compare figures from the national accounts with other economic statistics, as the transition is often complicated by different definitions and requirements for coverage. However, the national accounts are in full compliance with the balance of payments and government finance statistics., Read more about comparability, Accessibility and clarity, The National Accounts statistics are published in the StatBank under , Economy, and , National accounts, . The publications are accompanied by Danish press releases., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/national-accounts--annual

Documentation of statistics

Documentation of statistics: Consumer Price Index

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

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

Documentation of statistics

Documentation of statistics: Harmonized Index of Consumer Prices (HICP)

Contact info, Prices and Consumption, Economic Statistics , Martin Sædholm Nielsen , +45 24 49 72 81 , MNE@dst.dk , Get documentation of statistics as pdf, Harmonized Index of Consumer Prices (HICP) 2025 , Previous versions, Harmonized Index of Consumer Prices (HICP) 2024, Harmonized Index of Consumer Prices (HICP) 2023, Harmonized Index of Consumer Prices (HICP) 2022, Harmonized Index of Consumer Prices (HICP) 2021, Harmonized Index of Consumer Prices (HICP) 2020, Harmonized Index of Consumer Prices (HICP) 2019, Harmonized Index of Consumer Prices (HICP) 2018, Harmonized Index of Consumer Prices (HICP) 2017, Harmonized Index of Consumer Prices (HICP) 2016, Harmonized Index of Consumer Prices (HICP) 2015, Harmonized Index of Consumer Prices (HICP) 2014, Documents associated with the documentation, Notat-om-forbruger-og-nettoprisindekset-i-forbindelse-med-corona-krisen (pdf) (in Danish only), ECOICOP (pdf), Vægtgrundlag 1991 til i dag (xlsx) (in Danish only), Weightings 2025 (xlsx), The harmonized index of consumer prices (HICP) is compiled by all EU Member States and Norway, Iceland and Switzerland. The purpose of the harmonized consumer price indices is to be able to estimate the development in the countries' consumer prices on a comparable basis. HICP is used both by the Commission and by the European Central Bank in connection with the valuation of the price development in the individual countries in connection with the implementation and monitoring of the 3rd phase of the EMU. All the EU Member States and Norway and Iceland have compiled HICP since January 1997., Statistical presentation, HICP shows the development of prices for goods and services bought by private households in Denmark. Thus, the index also covers foreign households' consumption expenditure in Denmark, but not Danish households' consumption expenditure abroad. The index shows the monthly changes in the costs of buying a fixed basket of goods, the composition of which is made up in accordance with the households' consumption of goods and services., The price indices for April, May, June, July, August, September, October, November, December 2020 and January, February, March, April, May and June 2021 are more uncertain than usual, as the non-response rate has been significantly larger than normal and some businesses have been shut down due to COVID-19., Read more about statistical presentation, Statistical processing, The HICP is calculated on the basis of 23,000 prices collected from approx. 1,600 shops, companies and institutions throughout Denmark. Most prices are by far collected monthly. The data material received is examined for errors, both by computer (using the so called HB-method) and manually. The different goods and services, which are included in the HICP, are first grouped according to approx. 500 elementary aggregates for which elementary aggregate indices are calculated. The elementary aggregate indices are mainly calculated as geometric indices. The elementary aggregate indices are weighted together into sub-indices that are in turn aggregated into the total HICP., Read more about statistical processing, Relevance, The HICP is generally viewed as a reliable statistic based on the views of users., Important users are among others The European Central Bank, The European Commission, The Ministry of Finance, The Ministry of Economic Affairs and the Interior, The Danish Central Bank as well as private banks and other financial organizations., Read more about relevance, Accuracy and reliability, No calculation has been made of the uncertainty connected with sampling in the HICP as the sample is not randomly drawn, but the quality of the HICP is accessed to be high. In connection with COVID-19, uncertainty is greater than usual as it has been difficult to collect prices and many industries have been closed down., In addition to the "general" uncertainty connected with sampling, there are a number of sources of potential bias in the consumer price index. One source is the consumers substitution between goods and shops and another source is changes in the sample., Read more about accuracy and reliability, Timeliness and punctuality, The HICP is published on the 10th or the first working day thereafter, following the month in which the data was collected. , The statistics are published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The Danish HICP can be compared directly with other countries' HICPs. Using the HICPs it is possible to compare the inflation rates between different countries directly., The Danish HICP is also related to the national consumer price index., From January 2001, the only difference between the national consumer price index and the HICP is the coverage of goods and services, as owner-occupied dwellings is only recorded in the consumer price index and not in the HICP. , From January till December 2000, the only difference between the national consumer price index and the HICP is that both owner-occupied dwellings and private hospitals are only recorded in the consumer price index and not in the HICP. , Before January 2000, there are differences in calculation and methodology between the two indices as well as several differences as regards their coverage of goods and services., Read more about comparability, Accessibility and clarity, These statistics are published monthly in a Danish press release and in the StatBank under , Harmonized index of consumer prices (HICP), . The HICP of all Member States is also published by Eurostat in , Statistics in Focus/Economy and Finance, and on , Eurostat, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/harmonized-index-of-consumer-prices--hicp-

Documentation of statistics

Purchases of goods and services by manufacturing industries

How much does the Danish industrial sector spend on the purchases of goods and services? And which types of packaging materials account for the largest spend? ‘Purchases of goods and services by manufacturing industries’ provide detailed information on the purchases of goods, packaging materials and services, broken down by detailed categories. Among other things, the statistics is used in the compilation of the National Accounts., Purchases of goods by industry, The figure shows how the manufacturing industry’s total purchases of raw materials, components and auxiliary materials are distributed across industries. Select a segment of the pie chart to view the value in DKK 1,000. Click the downward arrow to display the remaining items on the industry list., In Statbank Denmark, you can find more data on Manufacturing industry's purchase of commodities (RAAV1), More about the figure, Last update, 21.3.2025, Next update, 20.3.2026, Source data, The statistics are survey-based. Approx. 900 enterprises are surveyed, selected as all enterprises in manufacturing and mining and quarrying, having at least 50 employees or yearly turnover of 100 mio. DKK. These enterprises account for 75-80 per cent of total turnover in manufacturing and mining and quarrying., Read more about sources, method and quality in the documentation of statistics on Manufacturers’ Purchases of Goods and Services, Purchases of packaging materials by type, The figure shows the distribution of the manufacturing industry’s total packaging purchases by type of packaging material., In Statbank Denmark, you can find more data on Manufacturing industry's purchase of packaging (RAAV2), More about the figure, Last update, 21.3.2025, Next update, 20.3.2026, Source data, The statistics are survey-based. Approx. 900 enterprises are surveyed, selected as all enterprises in manufacturing and mining and quarrying, having at least 50 employees or yearly turnover of 100 mio. DKK. These enterprises account for 75-80 per cent of total turnover in manufacturing and mining and quarrying., Read more about sources, method and quality in the documentation of statistics on Manufacturers’ Purchases of Goods and Services, Purchases of services by type, The figures shows the distribution of the manufacturing industry’s total service purchases by service type., In Statbank Denmark, you can find more data on Manufacturing industry's purchase of services (RAAV3), More about the figure, Last update, 21.3.2025, Next update, 20.3.2026, Source data, The statistics are survey-based. Approx. 900 enterprises are surveyed, selected as all enterprises in manufacturing and mining and quarrying, having at least 50 employees or yearly turnover of 100 mio. DKK. These enterprises account for 75-80 per cent of total turnover in manufacturing and mining and quarrying., Read more about sources, method and quality in the documentation of statistics on Manufacturers’ Purchases of Goods and Services, On the statistics – documentation, sources and method, Gain an overview of the purpose, contents and quality of the statistics. Learn about the data sources of the statistics, the contents of the statistics and how often they are published., See the documentation of statistics to learn more:, Manufacturers’ Purchases of Goods and Services, The purpose of the statistics is to give detailed information about the input structure of industrial production. The input measured is raw and auxiliary materials used in the processing and production of commodities, packing materials, and purchases of services. The data are divided by detailed industrial groups (NACE-groups). , The main use of the survey is in the National Accounts., Read more about sources, method and quality in the documentation of statistics on Manufacturers’ Purchases of Goods and Services, Need more data on Purchases of goods and services by manufacturing industries?, Go searching on your own in Statbank Denmark. Find more detailed figures, for example on goods purchase by detailed product categories under packaging and services, as well as on raw material purchase broken down by 6-digit product codes., Go to the StatBank, Contact, Morten Skovrider Kollerup, Phone: +45 24 52 61 68, Mail: , msl@dst.dk

https://www.dst.dk/en/Statistik/emner/erhvervsliv/industri/industriens-koeb-af-varer-og-tjenester

Subject page

Documentation of statistics: Social benefits for senior citizens

Contact info, Personal Finances and Welfare, Social Statistics , Marie Borring Klitgaard , +45 21 55 83 71 , MGA@dst.dk , Get documentation of statistics as pdf, Social benefits for senior citizens 2025 , Previous versions, Social benefits for senior citizens 2024, Social benefits for senior citizens 2023, Social benefits for senior citizens 2022, Social benefits for senior citizens 2021, Social benefits for senior citizens 2020, Elderly - Indicators 2019, Elderly - Indicators 2018, Elderly - Indicators 2017, Elderly - Indicators 2016, Elderly - Indicators 2015, Elderly - Indicators 2014, Elderly - Indicators 2013, Documents associated with the documentation, Kommentarer til 2024 - korte udgaver (xlsx) (in Danish only), Kommentarer til 2025 - korte udgaver (xlsx) (in Danish only), The purpose of these statistics is to display the quality level of municipal services in the elderly care. The statistics are a part of a cross-public cooperation, intended to ensure coherent documentation of important areas of municipal service, as well as to increase the comparability of the services provided in the different municipalities. The statistics are used to determine impact targets, frameworks and results requirements for key management initiatives and are comparable from 2008 onwards. Statistics Denmark is responsible for the composition and publication of the statistics., Statistical presentation, The statistic for 2025 covers data from the first 6 months of 2025. The statistic is an annual survey including a number of national impact- and background indicators which document and describe the quality of the municipal effort at the elderly area. The indicators consist of referral and provided home care, home nursing, nursing homes, exercise services, rehabilitation and preventative home visits. Primarily, the indicators are targeted at the elderly area, however home care, exercise services, home nursing as well as nursing homes also include data for citizens under 67 years., Read more about statistical presentation, Statistical processing, Before publishing data from the municipalities' EOJ system (electronic care journal), tables and figures are developed, which all municipalities are asked to approve. After the approval, Statistics Denmark detects for data errors as missing numbers, abnormal values and etc., Read more about statistical processing, Relevance, The authorities and public institutions and the population use the indicators for analysis, research, debate, etc. The focus is to ensure more valid documentation at the elderly area. This is achieved by retrieving the information directly from the municipalities' care systems (EOJ), which is constantly updated as a part of the municipalities' case management., Read more about relevance, Accuracy and reliability, The municipalities receive control tables, which they are asked to approve. Only approved information is included in the statistics. In the absence of approvals, previous years' information is included in the national totals and averages. For the publication for the first 6 months 2025, between 97 and 98 municipalities are included, depending on the indicator. Lack of approval may be due to the municipality's registration practices, which determine which data is reported, and system or supplier changes, where the reported data may be flawed. There are varying registration practices between municipalities in several areas, which can lead to distortions., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published as pre-advertised. The statistics are released approximately 6 months after the reference period has ended. , Read more about timeliness and punctuality, Comparability, The statistics are generally comparable over time, but there are minor data breaks. The municipalities' change of EOJ provider every five years can affect certain indicators. As of October 1, 2023, new reporting requirements for food service and supplier types resulted in a data break in the statistics on designated home care. Therefore, the figures for 2023 should be compared with previous years with reservations. For hospital usage, there has been no adjustment for the severity of diseases, which affects the comparability between municipalities., Read more about comparability, Accessibility and clarity, The statistics are published in a , Danish press release, . The figures are published in the StatBank under the subject , Social benefits for senior citizens, . See more on the subject page for the , Social benefits for senior citizens, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/social-benefits-for-senior-citizens

Documentation of statistics