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    Documentation of statistics: SME Access to Finance

    Contact info, Business Dynamics , Alina Grecu , +45 30 55 18 24 , AGC@dst.dk , Get documentation of statistics as pdf, SME Access to Finance 2018 , Previous versions, SME Access to Finance 2014, The statistics provides updated information on small and medium-sized enterprises' access to finance in light of the financial crisis. The 2018 statistics is an update of previous surveys covering the periods 2007, 2009/2010 and 2014. To provide the best basis for comparability over time, the survey has been repeated with an almost unchanged contents., Statistical presentation, The statistics sheds light on small and medium-sized enterprises' access to finance, covering loan finance, equity finance and other types of finance. Results are published in a NYT from Statistics Denmark and related tables in the Statbank. , Read more about statistical presentation, Statistical processing, The statistics is annual and questionnaire-based. Information is reported digitally. Validation includes checks and supporting information built into the digital form, combined with subsequent checks and recontact to reporting enterprises. The published results are grossed up to population level. Stratification is based on activity, enterprise size class and subpopulations ( high-growth enterprises, high-growth new enterprises and other enterprises)., Read more about statistical processing, Relevance, The statistics provides updated information on growth conditions for the Danish business sector, specifically on small and medium-sized enterprises' access to finance. The 2018 survey was carried out in collaboration with, and with financing from, the Danish Ministry of Industry, Business and Financial Affairs. In addition, the statistics is expected to be used by other ministries, Danmarks Nationalbank (the Danish Central Bank), business associations and by researchers., Read more about relevance, Accuracy and reliability, Sampling error calculations have been produced. The response rate is 93 per cent. Unit non-response is limited and due to bankruptcy, take-overs, etc. Item non-response is also limited. The quality of the statistics is considered high., Read more about accuracy and reliability, Timeliness and punctuality, Results from the survey are published relatively soon after the end of the reference period, and results have been published without delays. Results for 2014 were published without delays in a NYT from Statistics Denmark and related tables in the Statbank in mid-April 2015. Results for 2018 will be published without delays in late October 2019., Read more about timeliness and punctuality, Comparability, The statistics provides updated information on small and medium-sized enterprises' access to finance in light of the financial crisis. The 2018 statistics is an update of previous surveys covering the periods 2007, 2009/2010 and 2014. for 2007 and 2009/2010 results for a number of other European Member States are also available. To provide the best basis for comparability over time, the survey has been repeated with an almost unchanged contents., Read more about comparability, Accessibility and clarity, Results are published in a Nyt from Statistics Denmark (in Danish only) and related tables in the Statbank. , Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sme-access-to-finance

    Documentation of statistics

    Documentation of statistics: Rail Transport

    Contact info, Short Term Statistics, Business Statistics , Mathias Dybdahl Bluhme , +45 40 22 56 37 , MDB@dst.dk , Get documentation of statistics as pdf, Rail Transport 2026 , Previous versions, Rail Transport 2025, Rail Transport 2024, Rail Transport 2023, Rail Transport 2022, Rail Transport 2021, Rail Transport 2020, Rail Transport 2019, Rail Transport 2018, Rail Transport 2017, Rail Transport 2016, Rail Transport 2015, Rail Transport 2014, Rail transport statistics covers transport of goods and passengers by rail, investments in rail infrastructure and vehicles, rail traffic and accidents. The statistics is used for policy work in the EU and is compliant with the EU-regulation on the topic which secures that it can be compared to other EU-countries. Furthermore it is used by others with interest in the railroad sector this includes government bodies., Statistical presentation, Rail transport statistics contains information passenger and goods transport on Danish rail network irrespective of the nationality of the operator on a quarterly basis. On a yearly basis the statistics contains information on railway infrastructure and rolling vehicle stock, investments in infrastructure and rolling vehicles, and rail accidents. , Read more about statistical presentation, Statistical processing, Data for the statistics are collected through the online data collection portal, Virk.dk, quarterly from all rail operators with transport on the Danish rail network including private railways and light rail lines. Data are validated with regard to internal consistency in the report and the development in the time series on both micro (enterprise) and macro (aggregated statistics) level. No imputation (the statistics are only published when all data is collected), enumeration or seasonally adjustment are done., Read more about statistical processing, Relevance, The statistics are used widely by e.g. news media, ministries and consultancies, and it is the impression that the statistics is of relevance to the users., The statistics are primarily used by EU for policy work but also other with interest on the subject uses it. This includes government bodies., Read more about relevance, Accuracy and reliability, Uncertainty is estimated to be relative small since data collection covers all enterprises operating trains on the Danish rail network., Only minor revisions are done to the first preliminary publication., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 73-74 days after the reference period., The statistics are always published at the pre-announced time., Read more about timeliness and punctuality, Comparability, Comparable time series for all EU-member states and EFTA-member states are published by Eurostat. , There is no significant breaks in the existing time series. The time series for personkilometres for the Metro has a minor break between 2016 and 2017 due to changes in methodology., Read more about comparability, Accessibility and clarity, The statistics are published yearly in Nyt fra Danmarks Statistik (Statistical news) , and all data is available in , StatBank Denmark, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/rail-transport

    Documentation of statistics

    Documentation of statistics: Road Traffic Accidents

    Contact info, Population and Education, Social Statistics , Jørn Korsbø Petersen , +45 20 11 68 64 , JKP@dst.dk , Get documentation of statistics as pdf, Road Traffic Accidents 2024 , Previous versions, Road Traffic Accidents 2022, Road Traffic Accidents 2021, Road Traffic Accidents 2020, Road Traffic Accidents 2019, Road Traffic Accidents 2018, Road Traffic Accidents 2017, Road Traffic Accidents 2015, Road Traffic Accidents 2014, Road Traffic Accidents 2013, The purpose of the statistics is to collect and publish information on road traffic accidents in order to create a basis of knowledge for making decisions that can reduce the number of road traffic accidents and the consequences thereof. The statistics on road traffic accidents originate from 1 January 1930. The source of the statistics has until 1 January 2003 been the temporary and final reports from the police. From this date Statistics Denmark only receives an annual extract from the Road Directory with the police's final reports. Apart from this, the most fundamental alterations that have been introduced concern the classification of accidents, the scope of the statistics and the actual reporting procedures., Until 1938, the classification of accidents was not unambiguous. From 1938 to 1966, accidents were categorized according to the main cause of the accident, which was determined by a legal judgement. From 1967 onwards, this judgement has been replaced by a classification of the accident, which is not based on the concept of blame, but on the actual description of the circumstances surrounding the accident., From 1930 to 1958, the statistics included accidents resulting in personal injury as well as damage to property. Since 1958, accidents involving only damage to property are no longer covered by the statistics, and from 1967 accidents involving only pedestrians are no longer covered either, whether the accident resulted in a casualty or not., Up until and including 1975, the police reports were sent straight to Statistics Denmark. In 1976, the reporting system was expanded, so that the highway authorities in counties and municipalities take part in the reporting by locating the accidents. As from November 1997 and up to and including April 2000, a new system of computerized reporting was gradually introduced in the police., Since 1 January 2003 the police reports have been sent to the Road Directorate from whom Statistics Denmark receives an annual extract., Statistical presentation, The statistics on road traffic accidents illustrate the extent and the nature of all accidents involving casualties, who are known by the police. The information on road traffic accidents is classified into three main groups: information about the accident, information about the element (vehicles, pedestrians and obstacles) and information about the person., Read more about statistical presentation, Statistical processing, Annual extract from the Road Directorate, Road Accident Information System with information for all accidents with injured., The data is checked for errors. Only few corrections is made. No seasonally adjustment is made., Read more about statistical processing, Relevance, National users: Ministries (primarily the Ministry of Traffic), the police districts, the highway authorities in counties and municipalities, organizations, research centers, the education system and private persons., Eurostat: The register is made anonymous and sent to Eurostat, as input for the Community Database on Accidents on the Roads in Europe (CARE)., Area of application: Local and central planning aimed at reducing road traffic accidents, education, research and public debate., Read more about relevance, Accuracy and reliability, A general problem concerning the road traffic accident statistics is that they do not include accidents involving casualties, which are not reported to the police. The severity of the accident and the mode of transport are factors, which influence whether the police are involved. Examinations - pooling with the Register of Causes of Death and with registries of casualty award visits and hospital admissions caused by road traffic accidents - have proven that almost all accidents involving deaths are reported. Accidents involving serious personal injury are more frequently reported than accidents involving only slight injuries. Furthermore, accidents involving cars are more frequently reported than accidents involving bicycles and mopeds. In average only 20 per cent of the casualties come to the knowledge of the police. Results of the pooling with registries of casualty award visits can be found in the table MOERKE in , Statbank, ., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are usually published without delay in relation to the scheduled date - ult. June after the year after., Read more about timeliness and punctuality, Comparability, These include changes in the registration of road traffic accidents resulting in inconsistencies of data as well as the introduction of new variables. Since 1958, accidents involving only damage to property have been omitted from the statistics. In January 1967, the definition of road traffic accident involving casualties was changed to include only accidents involving at least one vehicle. This leaves out accidents involving only pedestrians. From January 1967, the classification of accidents according to main and secondary causes was changed to a classification according to the accident situation, based on an objective evaluation of the course of events leading up to the accident. In January 1981, the definition of slightly injured was changed. Minor bruises, scrapes and the like are no longer considered as slight injuries. In January 1983, the structure and contents of the statistical system were changed. New parameters - e.g., cycle paths, collision point, maneuver concerning the element record, and on driving license and moped license - were introduced. From January 1997, individuals who are admitted to hospital for observation due to concussion should be registered as slightly injured in cases where the diagnosis does not turn out to be concussion of the brain., Legal changes, such as the introduction of and changes to speed limits and limits for level of alcohol in the blood, and requirements concerning the use of seat belts, helmets, child seats, lights, etc., can influence the overall development in the road traffic accident statistics., Read more about comparability, Accessibility and clarity, Statistics appear in:, News from Statistics Denmark., Annual publications: , Statistical Yearbook, Statistical 10-Year Review, and , Færdselsuheld, (Road Traffic Accidents)., Statbank, .Transport, Traffic accidents: UHELD1, UHELDK1, UHELD2, UHELDK2, UHELD3, UHELD4, UHELD5, UHELD6, UHELD7, UHELDK7, UHELD8, UHELD9, UHELD10, UHELD11, UHELD12, UHELD13, MOERKE., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/road-traffic-accidents

    Documentation of statistics

    Documentation of statistics: The economics of Danish feature films

    Contact info, Science, Technology and Culture, Business Statistics , Cecilie Bryld Fjællegaard , +45 51 27 86 09 , CBF@dst.dk , Get documentation of statistics as pdf, The economics of Danish feature films 2023 , Previous versions, The economics of Danish feature films 2021, The economics of Danish feature films 2020, The economics of Danish feature films 2018, The purpose of the statistics on the economics of Danish feature films is to shed light on the financing of and costs associated with the production of Danish feature films, ie. where the money comes from and what it has been used for. As of 2023 the statistics furthermore sheds light on the revenue of Danish feature films. The statistics can be used to describe the financial framework conditions for Danish feature films. The statistics have been prepared for the first time in 2021 and cover the period from 2010 onwards., Statistical presentation, The economics of Danish feature films is an annual statement of the framework conditions for Danish feature films by type of financing (public support and private financing), country of financing (Denmark or abroad), target groups (eg. children / young people / families or adults), cost types (salary and other costs) and revenue type (cinema, video, TV) calculated in both mill. DKK and number of films., Read more about statistical presentation, Statistical processing, Data for the statistics are collected by the Danish Film Institute for use in the administration of film support. It is examined whether the number of feature films in the data received matches the number of feature films supported through the Consultant or Market Scheme. Then various sum checks are made for the individual films. In the event of irregularities or questions, the Danish Film Institute is contacted and data edited if necessary. Data is then enriched with information about the target group from Statistics Denmark's Film Register. Finally, data is aggregated to the final tables., Read more about statistical processing, Relevance, The statistics are relevant for industry professionals, researchers, analysts and others with a special or general interest in the economic aspects of Danish film production. It can be used to support analyzes of the development in Danish feature film production and / or be a starting point for political debates and decisions. It can also provide an insight into the framework conditions for Danish feature films for other interested parties., Read more about relevance, Accuracy and reliability, The data basis is production accounts for Danish feature films that have received support from the Danish Film Institute either through the Consultancy or Market Scheme, but omit feature films that have received other or no support. The statistics are therefore not fully comprehensive and underestimate the financing of, the costs associated with and the number of Danish feature films. The data base comprises an average of 82 per cent of Danish feature films and 94 per cent of the total sales of cinema tickets., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published two years after the end of the reference period. The table concerning revenue to Danish feature films is published four years after the end of the reference period., Read more about timeliness and punctuality, Comparability, The time series is comparable throughout the period. The statistics are partly comparable with Statistics Denmark's cinema statistics and can be compared with the Cultural Habits Survey's results regarding films and series. Internationally, the statistics can be compared with UNESCO's feature film statistics. There are no common European or international guidelines in the field, but there are a number of international and European sources for lighting the feature film field., Read more about comparability, Accessibility and clarity, The statistics are published in , News from Statistics Denmark, . Statistics Denmark publishes figures for the economy of Danish feature films under the topic , Cinemas and films, . See more on the subject page , Cinemas and films, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/the-economics-of-danish-feature-films

    Documentation of statistics

    Documentation of statistics: Announcements of forced sales of real property

    Contact info, Prices and Consumption, Economic Statistics , Maya Drewsen , +45 20 36 69 89 , MDR@dst.dk , Get documentation of statistics as pdf, Announcements of forced sales of real property 2026 , Previous versions, Announcements of forced sales of real property 2025, Announcements of forced sales of real property 2024, Announcements of forced sales of real property 2023, Announcements of forced sales of real property 2022, Announcements of forced sales of real property 2021, Announcements of forced sales of real property 2020, Announcements of forced sales of real property 2019, Announcements of forced sales of real property 2018, Announcements of forced sales of real property 2017, Announcements of forced sales of real property 2016, Announcements of forced sales of real property 2015, The purpose of the statistics is to document the trend in the number of announced forced sales in the Danish Official Gazette. The development in this figure is considered to be an important economic indicator. The quarterly statistics figures are comparable from 1979 onwards, while the monthly figures are comparable from 1993 onwards. The annual municipal figures are comparable from 2012 onwards. , Statistical presentation, These statistics document the development in the number of forced sales of real property, announced in the Danish Official Gazette, broken down by type of property and geographical location., Read more about statistical presentation, Statistical processing, Data for these statistics are collected electronically from the Danish Official Gazette. To avoid major fluctuations, Statistics Denmark performs trouble-shooting of the collected data to ensure that the same owner is only counted once within the month in question. Furthermore, trouble-shooting is performed to make sure that second announcements about the same real property, cancellations, confirmations, reprints, change of court date, discontinuance, affirmation, attachment, delay, default etc. are not included in the statistics. Subsequently, the forced sales are broken down into the various property categories and geographical areas. , Read more about statistical processing, Relevance, The statistics are used by public and private decision-makers to assess the trend in the number of announced forced sales of real property. , Read more about relevance, Accuracy and reliability, The forced sales of real property statistics provide a monthly total count of the number of announced forced sales of real property in the Danish Official Gazette with unique owners within the month in question. In this way it is ensured that major fluctuations in the statistics are minimised. The primary purpose of this set of statistics is to be informative regarding trends and it is not an assessment of the number of forced sales actually carried out. , Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published four weekdays after the expiry of the month., Read more about timeliness and punctuality, Comparability, The statistics are comparable at a national level since 1979. Due to the structural reform in 2007, there is a geographical breach of data., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under the subject , Forced sales of real property, . For further information, go to the , subject page, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/announcements-of-forced-sales-of-real-property

    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) 2026 , Previous versions, Harmonized Index of Consumer Prices (HICP) 2025, 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), 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

    Documentation of statistics: Purchasing Power Parities (PPP)

    Contact info, Prices and Consumption, Economic Statistics , Zdravka Bosanac , +45 61 15 16 74 , ZBO@dst.dk , Get documentation of statistics as pdf, Purchasing Power Parities (PPP) 2025 , Previous versions, Purchasing Power Parities (PPP) 2024, Purchasing Power Parities (PPP) 2023, Purchasing Power Parities (PPP) 2022, Purchasing Power Parities (PPP) 2021, Purchasing Power Parities (PPP) 2020, Purchasing Power Parities (PPP) 2019, Purchasing Power Parities (PPP) 2018, Purchasing Power Parities (PPP) 2017, Purchasing Power Parities (PPP) 2016, Purchasing Power Parities (PPP) 2015, Purchasing Power Parities (PPP) 2014, PPP tells how many currency units a given amount of goods and services cost in different countries. The statistics are used, among other things, to convert countries' gross domestic product (GDP) into comparable figures and for analyses of expenditure levels. Denmark has participated in the work on purchasing power parities since the 1970s, but the statistics in their current form are comparable from 2000 onwards., Statistical presentation, Purchasing power parities (PPP) is an annual price level indicator which expresses the price level in a given country at a given time, relative to the price level in one or more countries. This means that PPP for a particular country indicate how many units of national currency are needed in that country to maintain the purchasing power of €1 in the EU. PPP can be calculated for individual products or aggregates, such as GDP., Read more about statistical presentation, Statistical processing, Price surveys are conducted in order to provide price input data for household consumption, individual government consumption, collective consumption and gross fixed capital formation (investment goods and services). Reference (imputed) PPPs are used for NPISH consumption, inventories, and net exports., Read more about statistical processing, Relevance, The EU Commission uses GDP per capita PPP converted, as basis for allocating funds from the Structural Fund to reduce the financial inequalities among and within the 27 EU Member States. Furthermore, indicators derived from PPPs are used for a wide range of analytic purposes, often providing background information for policymaking in the European institutions, in international organizations like the International Monetary Fund and the World Bank, and in national governments., Read more about relevance, Accuracy and reliability, In the price surveys, the most important source of statistical margins of sampling errors is the range of goods and services, which are not equally representative of all countries included in the international comparisons. The composition of consumption expenditure differs among countries, and this gives rise to potential conflicts between representativeness and data comparability. For some areas, e.g. health it is particularly difficult to provide comparable information. The structure of the health sector differs among countries, and there are no "pure" market prices for these services, which constitutes another statistical margin of sampling error. The margins of sampling errors are not estimated., Read more about accuracy and reliability, Timeliness and punctuality, Provisional results from the surveys of purchasing power parities are published one year after the reference period, whereas the final results are published three years after the reference period. The statistics are usually published without any delay in relation to the scheduled date of publication., Read more about timeliness and punctuality, Comparability, Purchasing power parities are compiled for the purpose of conducting price and volume comparisons for a specific year among countries. Consequently, they are comparable across the participating countries. Comparisons over time must be interpreted with caution, as the basket of goods and services differs from one year to another., In the calculation of PPP, price level index and volume index, the average of EU28 was used as a reference country (group of countries) until 2020. With the United Kingdom's withdrawal from the European Union (EU), the EU27 (excluding the UK) = 100 will be used as a reference country (group of countries) from 2020. This has only a minor impact on the comparability of PPPs, the price level index and the volume index between 2019 and 2020. Results for 2024, published in December 2025 are presented in accordance with the new COICOP 2018 classification for product groups., 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 , International volume and price comparision, . Internationally, these statistics are available through , OECD, , , Eurostat, and , Nordic Statistics database, . For further information, go to the , subject page, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/purchasing-power-parities--ppp-

    Documentation of statistics