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Documentation of statistics: Government Finance Statistics

Contact info, Government Finances, Economic Statistics , Martin Rune Rasmussen , +45 24 77 42 71 , mra@dst.dk , Get documentation of statistics as pdf, Government Finance Statistics 2025 , Previous versions, Government Finance Statistics 2024, Government Finance Statistics 2023, Government Finance Statistics 2022, Government Finance Statistics 2020, Government Finance Statistics 2019, Government Finance Statistics 2018, Government Finance Statistics 2017, Government Finance Statistics 2015, Government Finance Statistics 2014, Government Finance Statistics 2013, The purpose of the statistics General government finances is to give a overview over expenditure and revenue in the general government sector. The statistics is used to analyze the public economy. Data are available and comparable from 1971 and onward., General government statistics have undergone a benchmark revision since the last publication. In this benchmark revision, the statistics for public finances have been revised back to 1971. The benchmark revision is a pan-European project that is carried out every 5 years. The purpose of the revision is to incorporate new knowledge and new methods and to ensure uniform calculation methods for all countries., This main revision of the public finance statistics has had no notable effect on public consumption, while the net lending/borrowing for general government has improved to a lesser extent. , Statistical presentation, General government finances monitor current and capital expenditure/revenue for the general government on a yearly basis. The statistics is divided into subsectors., Read more about statistical presentation, Statistical processing, The data is collected continuously in the months before the publication from the public account systems and other supplementary sources. It is then compiled according to national accounts principles, where it may be necessary to contact the specific source to clarify certain characteristics of the entries. It may be necessary to make imputations in cases where the data isn’t available at the time of publication. When a full dataset is compiled for all subsectors balancing is carried out to secure internal consistency., Read more about statistical processing, Relevance, Many users who monitor the public economy have interest in the published statistics of government finance statistics. The statistics is in demand from ministries, politicians, public and private institutions, researchers, enterprises, news media and Eurostat. The statistics provide input to national accounts statistics. The statistics often gets a lot of attention in the media and amongst other professional users., Read more about relevance, Accuracy and reliability, Misclassification due to insufficient information about the contents of a given account can occur. In provisional accounts, the government's value added tax expenses are divided at the level of accounting items. Ii all versions in t+1 provisional tax-estimates are used. Subsidy accounts can be classified with some inaccuracy because it is not always possible to define the recipient of the subsidy. Reserves and budgets adjustments: This extra paragraph covers both earmarked and widely defined reserves. The widely defined reserves are often considerable amounts and are difficult to define. Whenever possible, Statistics Denmark collects supplementary information on these reserves. An estimation of tax revenue charged by General Government is used., Read more about accuracy and reliability, Timeliness and punctuality, The March version is published one week after the publication of the central government accounts. The June version is published three month after the publication of the central government accounts. The statistic is usually published without delay in regards to the announced time., Read more about timeliness and punctuality, Comparability, Accounts for general government are compiled using international principles, which implies a high degree of comparability over time and between other Danish national accounts statistics as well as international government finance statistics, Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release. In the StatBank, these statistics can be found under the subject , Expenses and revenues of general government, . For further information, go to the , subject page, ., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Multiplier Tables

Contact info, National Accounts, Climate and Environment, Economic Statistics , Peter Rørmose Jensen , +45 40 13 51 26 , PRJ@dst.dk , Get documentation of statistics as pdf, Multiplier Tables 2022 , Previous versions, Multiplier Tables 2019, Multiplier Tables 2018, Multiplier Tables 2017, Multiplier Tables 2016, Economic multipliers measure the effect on e.g. production, income or employment at a detailed industry level, following a 1 million DKK "shock" to final use in an industry or in a final use category. Multipliers are not statistics in the traditional sense but may be termed more correctly as model calculations. As it is not entirely uncomplicated to calculate multipliers, a collection of the most used multipliers are made available for download this way. The statistics is a resume - now in electronic form - of the publication , Danish input-output tables and analyses, , that was published annually in a period up until 2011. , Statistical presentation, The tables contain a variety of multipliers, which can be considered a tool for assessing the impact of various "shocks" on demand. The tables are divided into three groups, production multipliers, employment multipliers and input multipliers. Each of these three groups is further subdivided into whether it is a shock to the demand in a particular industry or in a specific final use. In each table, it is also possible to further choose which type of multiplier you want to work with or what kind of employment you find most interesting. The multipliers are used when, for example, one wants to assess the effects of a possible shock to the demand. By multiplying a multiplier with the size of the shock, one can assess what effects it will have on production, employment, etc., Read more about statistical presentation, Statistical processing, The multiplier tables are based on already published data from Statistics Denmark, so the primary contribution that comes from these statistics is the statistical treatment of the basic material, which is done as a service for the users. Treatment is most easily done with software dedicated to the task and consists in working with data in matrix format and the use of certain matrix formulas picked up from the literature. One of the most important elements of the calculations is the compilation of the inverted matrix of inputs into the production - the so-called Leontief inverse matrix., Read more about statistical processing, Relevance, The multiplier tables are relevant for all those who would like to be able to calculate a general estimate of the effects on variables such as production, employment, imports etc.. when demand increases in an industry or one final use. It is an obvious choice for people who need to prepare and assess various policy initiatives who can use the multipliers to get an initial estimate of policy implications for key economic variables., The multiplier tables are ready to use and requires no prior knowledge of input-output modeling., Read more about relevance, Accuracy and reliability, The multipliers are the result of model calculations, which are based on national accounting statistics and input-output tables. In each section, polls and adjustments are made under assumptions, which together mean that the calculation process builds some uncertainty about the figures. At the most detailed level, therefore, one can not necessarily expect the results to be accurate representations of reality. Conclusions from the tables should be drawn with some caution, taking account of the uncertainties that may arise in the various stages of the process., Read more about accuracy and reliability, Timeliness and punctuality, The multipliers that build upon the national accounts input-output tables are published simultaneously with the final version of the national accounts approximately 30 months after the end of the reference year. Despite the fact that the numbers are 30 month old when published it is assessed that the degree of actuality in the numbers is quite high. The multipliers represent economic structures that changes quite slowly and therefore the numbers do not need to be as new and recent as numbers representing the state of the market economy. , Read more about timeliness and punctuality, Comparability, The input-output tables that make up the source for the multiplier statistics are fully coherent with the national accounts which makes the multipliers coherent as well. The classification of industries and final use categories are concurrent. The multipliers are published for the most recent final year of the national accounts because multipliers in current prices are not comparable over time. To the extent that similar multipliers are calculated in other countries a high degree of comparability can be expected., Read more about comparability, Accessibility and clarity, The statistics is published in the , Statbank, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/multiplier-tables

Documentation of statistics

Documentation of statistics: National Accounts, Financial Accounts

Contact info, Government Finances, Economic Statistics , Jesper Søgaard Dreesen , +45 51 64 92 61 , JSD@dst.dk , Get documentation of statistics as pdf, National Accounts, Financial Accounts 2025 , Previous versions, National Accounts, Financial Accounts 2024, National Accounts, Financial Accounts 2023, National Accounts, Financial Accounts 2022, National Accounts, Financial Accounts 2021, National Accounts, Financial Accounts 2020, Financial accounts 2018, Financial accounts 2017, Financial accounts 2016, Financial accounts 2015, Financial accounts 2014, Financial accounts 2013, Financial accounts are part of the national accounts system, which shows how the institutional sectors of the economy place / finance their net lending/net borrowing. Statistics Denmark published annual financial accounts for the first time in 2001, while the Danmarks Nationalbank (Danish Central Bank) published quarterly figures for the first time in 2004. From September 2020, the national and quarterly financial accounts of the national accounts is compiled in a collaboration between Danmarks Nationalbank and Statistics Denmark., Statistical presentation, Financial accounts are part of the national accounts system and consist of coherent definitions and classifications that show how the institutional sectors of the economy place / finance their net lending / net borrowing and how the net financial net worth are placed in financial instruments. Financial accounts are a quarterly and annual statistics and consist of the financial transaction account, the revaluation account, the account for other volume changes and respectively the opening and closing balances. Contact information for Danmarks Nationalbank can be found in Comments., Read more about statistical presentation, Statistical processing, Data is collected continuously throughout the year from many different sources. Then the data is processed in relation to the conceptual apparatus of the national accounts, where it may be necessary to contact the specific source with clarifying questions for the data. There may be a need to calculate estimates for the data that are not available at the time of publication. Once all sources have been obtained, some balancing is carried out to ensure the internal consistency that underpins the national accounts., Read more about statistical processing, Relevance, The purpose of these statistics is to shed light on the wealth and debt of companies and households as well as the overall financial stability of society. Financial accounts are relevant to anyone dealing with socio-economic issues. It ranges from Danmarks Nationalbank, financial institutions, the economic ministries, interest groups and financial analysts. The press is particularly interested in the figures for the household sector., Read more about relevance, Accuracy and reliability, The ability of the national accounts' financial accounts to accurately describe the economic reality depends partly on the uncertainty associated with the sources and partly on the model assumptions on which the preparation is based. Some parts can be calculated more accurately than others, as there is better access to source data. The initial bids for a period's financial accounts will be more uncertain than the final version, which comes after two and a half years, as new sources are continuously revised when new sources become available., Read more about accuracy and reliability, Timeliness and punctuality, The first version of the quarterly financial accounts is published 90 days after the end of the quarter. In connection with the publication of the 4th quarter at the end of March, the first version of the annual financial accounts will also be published. The final quarterly and annual financial accounts are issued two and a half years after the census period. The national accounts are published in time., Read more about timeliness and punctuality, Comparability, The national accounts' financial accounts are prepared in accordance with international guidelines and are thus comparable across countries. The current guidelines were implemented in 2014. , As of September 2020, there is full comparability between the quarterly and annual financial accounts from 2017 onwards. , Danmarks Nationalbank has quarterly figures dating back to 2005, while Statistics Denmark has annual figures dating back to 1995. For the period before 2017, however, the two statistics do not match, which can primarily be attributed to different sources or methodological choices., Read more about comparability, Accessibility and clarity, The statistics are published in StatBank under the topics , Complete national accounts, and , National accounts by sector, as well as Danmarks Nationalbank's Statbank under the topic , Financial accounts, ., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Transport by Ferries and Passenger Ships

Contact info, Short Term Statistics, Business Statistics , Heidi Sørensen , +45 24 79 86 81 , POT@dst.dk , Get documentation of statistics as pdf, Transport by Ferries and Passenger Ships 2025 Quarter 1 , Previous versions, Transport by Ferries and Passenger Ships 2024 Quarter 1, Transport by Ferries and Passenger Ships 2023 Quarter 1, Transport by Ferries and Passenger Ships 2022 Quarter 1, Transport by Ferries and Passenger Ships 2021 Quarter 4, Transport by Ferries and Passenger Ships 2021 Quarter 3, Transport by Ferries and Passenger Ships 2021 Quarter 2, Transport by Ferries and Passenger Ships 2021 Quarter 1, Transport by Ferries and Passenger Ships 2020 Quarter 4, Transport by Ferries and Passenger Ships 2020 Quarter 3, Transport by Ferries and Passenger Ships 2020 Quarter 1, Transport by Ferries and Passenger Ships 2019 Quarter 4, Transport by Ferries and Passenger Ships 2019 Quarter 3, Transport by Ferries and Passenger Ships (Quaterly) 2019 Quarter 2, Transport by Ferries and Passenger Ships 2019 Quarter 1, Transport by Ferries and Passenger Ships 2018 Quarter 4, Transport by Ferries and Passenger Ships 2018 Quarter 3, Transport by Ferries and Passenger Ships 2018 Quarter 2, Transport by Ferries and Passenger Ships 2018 Quarter 1, Transport by Ferries and Passenger Ships 2017 Quarter 4, Transport by Ferries and Passenger Ships 2017 Quarter 3, Transport by Ferries and Passenger Ships 2017 Quarter 2, Transport by Ferries and Passenger Ships 2017 Quarter 1, Transport by Ferries and Passenger Ships 2016 Quarter 4, Transport by Ferries and Passenger Ships 2016 Quarter 3, Transport by Ferries and Passenger Ships 2016 Quarter 2, Transport by Ferries and Passenger Ships 2014 Quarter 3, The purpose of the statistics on transport by ferries and passenger ships is to describe the transport of passengers and goods by ferries and passenger ships on domestic routes and in traffic between Danish and foreign ports., The statistics are together with the other transport statistics used for analyses of the transport of passengers and goods. In the current form the statistics has been made since 1990., Statistical presentation, The statistics on transport by ferries and passenger ships are a monthly and annual statistics on the transport of passengers and goods by ferries and by passenger ships between Danish ports or between Danish and foreign ports. , The most important variables used in the statistics are: Trips, passengers, vehicles, goods on road vehicles and other goods., The statistics are published annually in , Nyt fra Danmarks Statistik, and quarterly in the Statbank., Read more about statistical presentation, Statistical processing, Data for the statistics are collected through an electronic questionnaire. The statistics cover all ferry lines and passenger ships with goods or passenger traffic in route to or from Denmark., The response rate is 100 percent., Data are checked both automatically and manually at the time of data collection and in case of large deviations or missing reports the reporting company is contacted again. For a few operators the total freight weight is imputed based on the number of freight vehicles reported. The validated micro-data is aggregated and then checked for major fluctuations., Read more about statistical processing, Relevance, The statistics are used regularly by new media, consultancies, business associations, port enterprises, shipping lines and other enterprises as well as Eurostat for e.g. analyses of maritime traffic, investments in infrastructure, analyses of the maritime transport sector, economic development and environment., Read more about relevance, Accuracy and reliability, The statistics is assessed to be reliable as the main series are based on financial information from the reporters (ticket sale). Furthermore the reporters are obliged to monitor the number of passengers and vehicles onboard., There is few and minor revisions and few errors are found in reported data., The smallest ferry lines are not included in the statistics. Usually this is lines to the smallest Danish islands or crossing fjords., In the main series uncertainty is largest for goods by goods motor vehicles that in some cases are estimated based on the number of goods motor vehicles. Additionally, the number of bicycles and caravans are uncertain., Read more about accuracy and reliability, Timeliness and punctuality, The quarterly statistics are published around 55 days after the end of the quarter. Since statistics for the first quarter 2012 the statistics has been published at the pre-announced date., Read more about timeliness and punctuality, Comparability, In its present form the statistics is consistent since 1990 for annual figures and 2000 for monthly figures. The statistics are processed according to common EU guidelines and therefore comparable with statistics from other countries published by Eurostat., Read more about comparability, Accessibility and clarity, These statistics are published annually in a Danish press release at the same time as the tables are updated in the Statbank. In the Statbank, these statistics can be found under the subject , Passengers and routes, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/transport-by-ferries-and-passenger-ships

Documentation of statistics

Documentation of statistics: Holiday houses

Contact info, Short Term Statistics, Business Statistics , Nanna Nikander Nonboe-Nygaard , +45 20 56 39 57 , nio@dst.dk , Get documentation of statistics as pdf, Holiday houses 2025 , Previous versions, Holiday dwellings 2024, Holiday dwellings 2020, Holiday dwellings 2019, Holiday dwellings 2018, Holiday dwellings 2017, The purpose of the statistic Holiday houses is to visualize the capacity and rental activity for Danish holiday houses through from rental agencies. Users of the statistics is e.g. business and tourism organisations as well as municipalities and regions to analyse the development in tourism. The statistics have been compiled since 1968 in various forms. Figures for the first years are available in printed editions of the Statistical Yearbook. In its current form, the statistics are comparable since 1992. Figures on nights spend at holiday houses or holiday apartments complements other tourism statistics on nights spend e.g. hotels, camping., Statistical presentation, The statistics about holiday houses are a monthly and annual calculation of Danish holiday houses that are rented out through rental agencies. The statistics are divided into nationalities of the guests, as well as geographically by regions and parts of the country. In addition, there is an annual assessment of the capacity of vacation houses for rental. Numbers of Municipal distribution is prepared in collaboration with VisitDenmark. , Read more about statistical presentation, Statistical processing, Data for this statistics is collected monthly for reporting that covers approx. 95 pct. of the population, to which is added an enumeration of the annual reports from the previous year, so that the entire population of holiday house rental with a minimum of 25 houses available is covered. The monthly statistics shows temporary data for the holiday house rental. When the reference year is over, the calculated imputed values are replaced with the final data for the year. The annual statistics with the final data include reporting from every holiday house rental with a minimum of 25 houses available for renting., Data for the annual statistics is collected via an upload solution for the rental agencies that only report annually or via an electronic questionnaire for the rental agencies that report monthly. The collected data undergoes micro-level debugging during the actual collection and at the macro-level when the data is aggregated. , Read more about statistical processing, Relevance, The statistics are relevant for e.g. the companies, industry associations, municipalities and regions as well as business and tourism organizations as a basis for forecasts, analyses and planning purposes., Read more about relevance, Accuracy and reliability, The variables of the statistics associates more or less uncertainty. Number of contracts, number of houses available and rented house-weeks are regarded as the most certain variables. The variable Numbers of nights is regarded as more uncertain, because in some cases they are based on reported estimates. , Read more about accuracy and reliability, Timeliness and punctuality, The monthly statistics for holiday house rental is published approx. 40 days after the end of the reference month. The statistics are published without delays in relation to planned publication times. The annual statement for holiday house rental is published together with the final annual figures approx. 100 days after the end of the reference year. , Read more about timeliness and punctuality, Comparability, The statistics date back to 1986 and have undergone changes over time. From 1986-1990, the statistics only covered holiday house rental in the high season. From 1990, the statistics covered an operating year, i.e. early October to and including the end of September. From 1998, the annual statistics are based on the calendar year. In 2011, the overnight figures for 2010 were adjusted upwards by 647,000 as a result of revised information from some rental agencies. As a consequence, the number of overnight stays in 2010 and 2011 and onwards is not immediately comparable with the number of overnight stays in previous years. From 2012, the number of available houses for rent was removed from the monthly statistics. Instead, the figure is calculated once a year with the number of available houses for rent per year. May 1. in the reference year. , Read more about comparability, Accessibility and clarity, The statistics are published monthly and annually in , Nyt from Statistics Denmark, . In the Statistics Bank, the figures are published under the subject , Holiday houses, and , Total types of accommodation, . See more on the statistics , topic page, . Municipality-distributed statistics on holiday rental are financed by VisitDenmark and are freely available on their , website, ., If you want to combine statistics on holiday home rentals with other variables or put them together in another way, you can contact DST Consulting to clarify options and request a quote. , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/holiday-houses

Documentation of statistics

Documentation of statistics: Water and Waste Water

Contact info, National Accounts, Climate and Environment, Economic Statistics , Michael Berg Rasmussen , +45 51 46 23 15 , MBR@dst.dk , Get documentation of statistics as pdf, Water and Waste Water 2023 , Previous versions, Water and Waste Water 2022, Water and Waste Water 2021, Water and Waste Water 2020, Water and Waste Water 2019, Water and Waste Water 2018, Water and Waste Water 2016, Water and Waste Water 2014, The statistics concerning water and waste water estimates the abstraction and use of water as well as discharge of waste water distributed on municipalities., The water account document abstraction of water, use in households and industry groups (as used in the Danish National Accounts) as well as the discharge of waste water via waste water treatment plants to the aquatic environment. The water accounts are based on water and waste water statistics as well as micro-data from the Jupiter database managed by GEUS (Geological Survey of Denmark and Greenland) and reports on point sources from the Danish Environmental Protection Agency., The economic water account document the income in water supply and waste water treatment plants from households and industry groups. The account is based price information from water supply and waste water companies that are member of DANVA, information on individual companies, population, households as well as the physical water account., Statistical presentation, The water account consist of a physical and an economic part. The physical water account document abstraction of water, use well as the discharge of waste water to the aquatic environment in households and 117 industry groups as used in the other parts of the environmental economic account and in the ordinary Danish National Accounts. The economic water account document the income in water supply and waste water treatment plants from households and industry groups. The water accounts are prepared annually and published in Latest releases from Statistics Denmark and in StatBank Denmark., The water account is a module in the environmental economic accounts for Denmark. Read about the , environmental economic accounts, ., Read more about statistical presentation, Statistical processing, Statistics Denmark prepares water statistics based on data from GEUS on abstraction of water and waste water statistics based on data from the Danish Environmental Protection Agency. The distribution of abstraction of water, use of water and discharge of waste water between industrial groups as well as the cost are based on a number of additional sources., Read more about statistical processing, Relevance, Water accounts and statistics are of relevance for administrative bodies, researchers, NGOs, businesses, the educational sector and individuals - all with interests in water, pollution, resources, economic-environmental interactions, etc. To ensure international comparability, the waste accounts are prepared according to the UN statistical standard SEEA (System of Environmental-Economic Accounting) 2012., Read more about relevance, Accuracy and reliability, The coverage of data abstraction water is assessed to be high. However, for fish farming the information may be insufficient. Therefore missing values have been imputed., The coverage of data on waste water discharge is assessed to be high, as the information by law has to be included in development water management plans., The coverage of data on abstraction of water, flows and deliveries to end users is assumed to be high., The distribution on industrial groups - especially the 117 level - is subjected to some uncertainty., Read more about accuracy and reliability, Timeliness and punctuality, The statistics as well as physical and economic accounts have been published on time 11 months after the end of the reference period., Read more about timeliness and punctuality, Comparability, The methods and data sources for the Water Accounts are unchanged throughout the period covered by published figures (2010-). International comparison is possible with all other national water accounts based on UN's statistical standard SEEA 2012., Read more about comparability, Accessibility and clarity, The statistics are published in News from Statistics Denmark and in the Statbank. They will also be part of future publications from Statistics Denmark on Environmental-Economic Accounts (Green National Accounts)., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/water-and-waste-water

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

Contact: Business Data Collection and Registers

Section/Title, Name, Phone, Mail, Management and Office Support, Head of Division, Head of Division, Hanne-Pernille Stax , +45 28 40 66 14, hps@dst.dk, Deputy Head of Division, Deputy Head of Division, Steen Eiberg-Jørgensen , +45 41 31 74 18, sej@dst.dk, Communication and processes, Chief Adviser, Chief Adviser, Peter Starch Brandt , +45 61 13 70 42, psb@dst.dk, Head of Section, Head of Section, Anders Wykow Hansen , +45 40 24 05 70, awh@dst.dk, Head of Section, Head of Section, Morten Bo Jakobsen , +45 24 66 42 68, mtj@dst.dk, Head of Section, Head of Section, Maria Lopez Juhl , +45 30 62 53 05, mjl@dst.dk, Head of Section, Head of Section, Lisa Tofte Vardrup , +45 30 91 40 54, ltv@dst.dk, Data Collection and support – External Systems, Head Clerk, Head Clerk, Bjarne C. Hansen , +45 20 35 71 11, bjh@dst.dk, Head Clerk, Head Clerk, Ninnie Hansen , +45 51 85 76 18, nin@dst.dk, Head Clerk, Head Clerk, Alina Mortensen , +45 29 47 87 26, amo@dst.dk, Senior Head Clerk, Senior Head Clerk, Duygu Yildirim , +45 21 33 62 44, duy@dst.dk, Data Collection and support– Internal Systems, Head Clerk, Head Clerk, Carina Ivanhoe , +45 23 69 64 88, cih@dst.dk, Senior Clerk, Senior Clerk, Sille Mæhle , +45 23 35 56 46, shu@dst.dk, Senior Head Clerk, Senior Head Clerk, Merete Iisager , +45 21 42 83 47, mpr@dst.dk, Senior Head Clerk, Senior Head Clerk, Dorthe B. Johansen , +45 29 43 49 78, djh@dst.dk, Data reporting solutions and integration, Senior Adviser, Senior Adviser, Lise Stahl Jacobsen , +45 24 82 62 43, ljc@dst.dk, Senior Adviser, Senior Adviser, Maria Maj Tofte Møllgaard , +45 30 89 55 61, mtv@dst.dk, Senior Adviser, Senior Adviser, Sigge Stenild , +45 20 49 09 94, sst@dst.dk, Head of Section, Head of Section, Emil Bajlum , +45 21 44 72 19, eba@dst.dk, Head of Section, Head of Section, Pia Thomsen , +45 51 68 92 50, pit@dst.dk, System Analyst, System Analyst, Saliha Zayoum , +45 20 52 04 83, saz@dst.dk, Geodata basic registers, Chief Adviser, Chief Adviser, Henrik Michele Kock , +45 30 46 81 09, hkc@dst.dk, Senior Adviser, Senior Adviser, Linea Løfqvist , +45 24 76 43 54, llf@dst.dk, Groups and quality of the business statistics register, Senior Adviser, Senior Adviser, Birgit Nielsen , +45 20 51 69 67, bgn@dst.dk, Senior Adviser, Senior Adviser, Jens Christian Ring , +45 29 42 37 45, jcr@dst.dk, Head of Section, Head of Section, Michael Lützhøft Kongsted , +45 24 64 96 80, mkg@dst.dk, Head of Section, Head of Section, Sarah Valentina Møller , +45 20 13 06 26, svm@dst.dk, Internal systems - development, Senior Head Clerk, Senior Head Clerk, Frank de Wett Brodersen , +45 24 41 21 31, fdb@dst.dk, Senior Head Clerk, Senior Head Clerk, Karina Leander , +45 24 75 37 02, ksn@dst.dk, Internal systems - Mintenance and test, Head Clerk, Head Clerk, Bjørn Rundal Madsen , +45 29 40 37 88, bma@dst.dk, Head Clerk, Head Clerk, Karen Thuse Rasmussen , +45 24 75 04 71, kar@dst.dk, Senior Head Clerk, Senior Head Clerk, Claus Gottlob , +45 81 72 94 15, cgo@dst.dk, Senior Head Clerk, Senior Head Clerk, Bettina Schandorff Svanum , +45 51 42 76 28, bsn@dst.dk

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=23&tlfbogsort=sektion

Contact: Welfare and Health

Section/Title, Name, Phone, Mail, Management and Office Support, Head of Division, Head of Division, Kirsten Hoo-Mi Sloth , +45 24 76 65 67, kms@dst.dk, Executive chief consultant, Executive chief consultant, Hanne Rasmussen , +45 20 58 30 63, hra@dst.dk, System Analyst, System Analyst, Cathrine Pagh Nielsen , +45 24 67 07 20, cnn@dst.dk, Health, disabled people and crime, Chief Adviser, Chief Adviser, Sofie Biering-Sørensen , +45 21 19 91 35, sbs@dst.dk, Chief Adviser, Chief Adviser, Klaus Birch Lundgaard , +45 51 14 62 78, klu@dst.dk, Senior Adviser, Senior Adviser, Jonas Ellemand , +45 24 90 74 98, joe@dst.dk, Senior Adviser, Senior Adviser, Peter Krogh , +45 20 15 83 11, ptk@dst.dk, Senior Adviser, Senior Adviser, Line Neerup Handlos , +45 26 64 03 00, lha@dst.dk, Senior Adviser, Senior Adviser, Camilla Østerballe Nielsen , +45 20 28 52 49, cnl@dst.dk, Head of Section, Head of Section, Benedikte Beckman Nygaard , +45 21 19 10 53, bbn@dst.dk, Head of Section, Head of Section, Jonas Kirchheiner-Rasmussen , +45 61 50 23 80, ras@dst.dk, Senior Head Clerk, Senior Head Clerk, Karsten Werner Nielsen , +45 30 45 69 04, kwn@dst.dk, Senior Head Clerk, Senior Head Clerk, Vibeke Nordrum , +45 24 94 35 52, vno@dst.dk, Senior Head Clerk, Senior Head Clerk, Iben Birgitte Pedersen , +45 23 60 37 11, ipe@dst.dk, Senior Head Clerk, Senior Head Clerk, Claus Østberg , +45 51 79 31 58, coj@dst.dk, Student, Student, Emilia Nielsen , +45 20 31 92 36, edg@dst.dk, Seniors and marginalised adults, Chief Adviser, Chief Adviser, Chris Cornelia Friis Christiansen , +45 23 13 05 91, ccc@dst.dk, Senior Adviser, Senior Adviser, Siri Dencker , +45 21 45 34 92, sen@dst.dk, Head of Section, Head of Section, Sille Amalie Aagaard Kristensen , +45 20 11 52 16, sak@dst.dk, Head of Section, Head of Section, Marie Borring Klitgaard , +45 21 55 83 71, mga@dst.dk, Head of Section, Head of Section, Birgitte Lundstrøm , +45 24 21 39 65, bls@dst.dk, Head of Section, Head of Section, Clara Matilde Møgelmose Larsen , +45 30 45 88 23, cml@dst.dk, Head of Section, Head of Section, Silas Turner , +45 21 54 42 57, str@dst.dk, Senior Head Clerk, Senior Head Clerk, Lina Agerskov Hansen , +45 30 57 73 44, lah@dst.dk, Senior Head Clerk, Senior Head Clerk, Ramije Idrizi , +45 20 57 99 53, rai@dst.dk, Vulnerable Children and Young Persons, Chief Adviser, Chief Adviser, Sofie Mandrup Hansen , +45 24 43 54 57, sfh@dst.dk, Senior Adviser, Senior Adviser, Jane Christensen , +45 20 58 42 40, jnc@dst.dk, Head of Section, Head of Section, Rasmus Waagø Jacobsen , +45 61 50 93 37, rwj@dst.dk, Head of Section, Head of Section, Johanna Jallberg , +45 20 16 01 71, jjg@dst.dk, Head of Section, Head of Section, Cecilie Katholm , +45 21 45 33 42, cek@dst.dk, Head of Section, Head of Section, Marko Malic , +45 51 70 56 95, mmc@dst.dk, Head of Section, Head of Section, Anne Morsing , +45 21 82 17 60, aem@dst.dk, Senior Head Clerk, Senior Head Clerk, Bente Ottosen , +45 41 31 74 23, bbo@dst.dk

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=10&tlfbogsort=sektion

Contact: Labour and Income

Section/Title, Name, Phone, Mail, Management and Office Support, Head of Division, Head of Division, Thomas Bie , +45 41 19 87 10, tbi@dst.dk, Executive chief consultant, Executive chief consultant, Jesper Moltrup-Nielsen , +45 24 81 16 97, jmn@dst.dk, AKU and SILC, Chief Adviser, Chief Adviser, Daniel F. Gustafsson , +45 20 51 64 72, dfg@dst.dk, Head of Section, Head of Section, Ida Frederikke Mathiesen , +45 21 49 48 53, ifm@dst.dk, Head of Section, Head of Section, Martin Faris Sawaed Nielsen , +45 23 69 90 67, mfs@dst.dk, Head Clerk, Head Clerk, Annette Gewecke Nancke , +45 30 60 41 75, agp@dst.dk, Senior Clerk, Senior Clerk, Mediha Kurtevski , +45 23 69 77 12, mku@dst.dk, Senior Head Clerk, Senior Head Clerk, Tina Dorthe Andersen , +45 29 33 75 67, tia@dst.dk, Senior Head Clerk, Senior Head Clerk, Wendy Takacs Jensen , +45 51 79 47 14, wta@dst.dk, System Analyst, System Analyst, Dines Skafte Böttcher , +45 21 14 76 92, dsb@dst.dk, Earnings and Absence, Senior Adviser, Senior Adviser, Eva Borg , +45 24 78 53 57, evb@dst.dk, Senior Adviser, Senior Adviser, Bao Chau Do , +45 30 62 50 74, bcd@dst.dk, Head of Section, Head of Section, Sam Blanch , +45 23 63 60 44, slb@dst.dk, Head of Section, Head of Section, Monica Wiese Christensen , +45 21 73 34 69, mwc@dst.dk, Head of Section, Head of Section, Summer Cook , +45 30 68 39 52, sco@dst.dk, Head of Section, Head of Section, Nete Nielsen , +45 40 10 48 87, ndn@dst.dk, Head of Section, Head of Section, Sysette Holde Rasmussen , +45 40 27 21 96, syr@dst.dk, Bachelor, Bachelor, Sofie Lionet Faxholm , +45 20 18 41 09, slf@dst.dk, Head Clerk, Head Clerk, Iman Khazendar , +45 40 23 13 63, ijk@dst.dk, Head Clerk, Head Clerk, Yulia Sotirova , +45 30 57 69 27, ivs@dst.dk, Senior Head Clerk, Senior Head Clerk, Lars Svenningsen , +45 24 81 25 98, lks@dst.dk, Employment and Labour Market Accounts, Chief Adviser, Chief Adviser, Pernille Stender , +45 24 92 12 33, psd@dst.dk, Chief Adviser, Chief Adviser, Thomas Thorsen , +45 23 69 94 27, tst@dst.dk, Senior Adviser, Senior Adviser, Mads Housø Hansen , +45 24 43 40 61, mhu@dst.dk, Head of Section, Head of Section, Christian Ravn , +45 21 15 99 36, crs@dst.dk, Income and Wealth, Chief Adviser, Chief Adviser, Jarl Christian Quitzau , +45 23 42 35 03, jaq@dst.dk, Senior Adviser, Senior Adviser, Uwe Pedersen , +45 23 72 65 69, uwp@dst.dk, Head of Section, Head of Section, Morten Steenbjerg Kristensen , +45 20 40 38 73, mrt@dst.dk, Labour Market Periphery, Chief Adviser, Chief Adviser, Mikkel Zimmermann , +45 51 44 98 37, mzi@dst.dk, Head of Section, Head of Section, Anna Skovbæk Mortensen , +45 21 77 67 54, aom@dst.dk, Senior Head Clerk, Senior Head Clerk, Carsten Bo Nielsen , +45 23 74 60 17, can@dst.dk, System Analyst, System Analyst, Jesper Truelsen , +45 30 34 78 10, jet@dst.dk

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=04&tlfbogsort=sektion