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    Experimental statistics

    Experimental statistics are statistics that are in development, so that methods and sources may change in the process towards the final form of the statistics based on experiences, e.g. in the form of feedback from users. , In what ways do they differ from Statistics Denmark’s usual statistics? , In general, any statistics published by Statistics Denmark are official statistics. However, experimental statistics are not regarded as official statistics until they have been thoroughly tested to the point where they obtain a permanent form and a new status as official statistics. , It appears from the individual sets of statistics whether they have experimental status. The statistical documentation explains specifically what the experimental status of the individual set of statistics involves. It could be e.g. that the methods are not quite thoroughly tested, that new data sources are being tested, or that in its preliminary form, it only covers part of the intended area. , Which experimental statistics does Statistics Denmark publish? , Experimental statistics are gradually being developed to meet the demand of users. This page presents an overview of these, but in general, the individual sets of statistics can be found under the relevant subject pages or subjects in Statbank Denmark. , Is the uncertainty higher, and should you take special precautions when using it? , Limitations and reservations vary between the different sets of statistics and appear from the statistical documentation for each set of statistics. , Why does Statistics Denmark publish experimental statistics? , The purpose of experimental statistics is to respond to user requests for timely indicators of the development of society. Using more and more new sources and methods, we can create timely statistics in areas where the official and quality-checked statistics often have a time lag of months or perhaps years. Publishing the statistics in a preliminary form allows us to get feedback from the users, before we have found the final form, and thus gives us a more relevant product. At the same time, it gives the users an opportunity to become familiar with the statistics. , For instance, the experimental statistics could be a key indicator of a phenomenon that we describe through official statistics (e.g. Statistics Denmark developed a number of experimental statistics as indicators of the development of Covid-19). In other contexts, indicators can be official statistics, e.g. Consumer expectations.,  , Statistics Denmark's experimental statistics, Here you can find an overview of the experimental statistics that Statistics Denmark currently produces. The statistics are presented either as part of a subject page here on dst.dk or as a table in the StatBank., Health, Consultations with physicians among NEETs, Purchase of prescription medicine among NEETs and Hospital utilisation among NEETs - on the subject page , Health of vulnerable groups, Tables in the Statbank: , Consultations with physicians in the population (NEETSYG), , , Purchase of prescription medicine in the population (NEETMED), , , Hospital utilisation in the population by type of contact (NEETLPR), , , Hospital utilisation in the population by primary diagnosis groups (NEETDIAG), , , Sale of prescription drugs (MEDICIN4), , , Sale of prescription drugs by ancestry (MEDICIN2), , , Sale of prescription drugs by education (MEDICIN3), , , Sale of prescription drugs by region (MEDI1A), , , Sale of prescription drugs by region (MEDI1B), ., Migrations, Table in StatBank: , Immigrations per week (VAN1UGE), Bankruptcies, Bankruptcies and declarations of bankruptcies - on the subject page , Bankruptcies, Tables in StatBank: , Bankruptcies per week (KONK10E), , , Bankruptcies per month (KONK11E), , , Bankruptcies per year (KONK12E), International trade, International trade at constant prices - on the subject page , Imports and exports of goods and services, Table in StatBank: , External trade in 2015-prices monthly (UHFASTP1), Energy and air emissions accounts, Tables in StatBank: , Climate footprint (AFTRYK1), , , Climate footprint by supplying industries (AFTRYK2), Energy consumption, Tables in StatBank: , Natural gas consumption excl. bionatural gas per week (GASBRUG), , , Natural gas storage (GASLAGER), Traffic, Port calls in Danish ports (AIS data) - on the subject page , Shipping and ports, Table in StatBank: , Port calls in Danish ports (AIS1), Historical national accounts, Tables in StatBank: , Experimentally backcast of population figures of the current national accounts for Danmark (HNRB), , , Experimentally backcast figures of the current national accounts for Danmark (HNR1), Complete national accounts, Tables in StatBank: , Income and consumption of households by quintile (NAHT1), , , Income and consumption of households by type of household (NAHT2), Rent indices, Table in StatBank: , Rent indices for commercial properties (ERHEJD1)

    https://www.dst.dk/en/Statistik/dokumentation/eksperimentel-statistik

    Publication: The business sector and the sustainable development goals - Denmark and neighbouring countries 2021

    In this publication the development of the Business sector in relation to selected SDG-goals in Denmark and 7 neighbouring countries are shown. Existing statistics in Eurostat, The European Union Statistical office, are used in the analyses. The developments on economic, environmental and social issues are followed for 14 groups of industries across country., Positive developments in all 8 countries in relation to the SDGs – only minor change, however, as regards gender equality in occupation and earnings, The results, mainly from 2010 to 2019, shows a positive trend in the Business sector in the contribution to fulfilment of the Sustainable Development Goals. In particular, this is the case in relation to emission of climate gasses, where all countries show improvement in the relation between emission and value added. This has, however, also been caused by domestic or European policies on the matter., Connected to the comparisons of the development in the indicators across country, also the differences in business structure are presented together with the actual size of indicators in 2010. The baseline and the room for change is necessary knowledge when assessing the development since. , Expenditures for R&D, relevant information in relation to change to improved sustainability in the Business sector has in general increased since 2010, as well in actual prices as related to the value added in the sector. Poland shows the highest increase, however from a low level, why a decrease in the indicator is the case for Denmark and Finland., A significant decrease in emission of climate gasses from business activities can been seen, as well in actual figures at related to value added. United Kingdom shows larges decrease independent of indicator, while Poland and Netherlands shows only low decrease. The overall figures from Norway is deviating from the general trend, maybe caused by insecurity in emission figures., The gender composition of the employees by type of industry show largely similar pictures in the countries, but also a slight tendency towards more equal composition. Germany and Poland has the highest share of women in the sector, while Norway and Sweden has the lowest share., Regarding gender pay gap, only a rough comparison for the business sector is possible. The figures, however, indicates that Germany and United Kingdom have the largest gender pay gap, while Poland, Sweden and Norway are more close to a situation where women get equal pay for equal  work., Exact references to the Eurostat database tables can be found in the publication. This makes it possible for everyone to make further calculations, for others countries or types of industry and also for the coming years. For 2020 and 2021, however, impact from COVID-19 has to be taken into account in the analyses., Corrections:, Page 28: Greenhouse gases emission, Get as pdf, The business sector and the sustainable development goals - Denmark and neighbouring countries, Colophone, The business sector and the sustainable development goals - Denmark and neighbouring countries, Business, ISBN pdf: 978-87-501-2407-8, Released: 25 May 2022 08:00, No of pages: 37, Contact info:, Ole Olsen, Phone: +45 29 77 14 98

    Publication

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

    Contact info, Science, Technology and Culture, Business Statistics , Søren Østerballe , +45 23 42 32 97 , srb@dst.dk , Get documentation of statistics as pdf, The importance of cultural and creative industries in the national economy 2022 , Previous versions, Documents associated with the documentation, Delimitation of activities (pdf), The purpose of the statistics on the economic importance of cultural and creative industries in the national economy is to show the significance of cultural and creative industries in the Danish economy, presented within a national accounting framework. Concepts from national accounts, such as production and gross value added (GVA), are linked to the classifications of cultural and creative industries. The aim is to reflect not only the direct activities within the cultural and creative industries but also the indirect activities taking place in other sectors that support them. The statistics are new and are published for the first time with data covering the period 2014–2022., Statistical presentation, The statistics convert activity in the cultural and creative industries at the most detailed level of the Danish Industrial Classification 2007 into the national accounts' industry classification and national accounting concepts such as production and gross value added. This alignment with the national accounts' industry groupings enables both an input-output model calculation of indirect effects in other industries supporting cultural and creative production, and a comparison of key figures with those for other parts of the Danish economy. The results are categorized by cultural subjects and creative industries., Read more about statistical presentation, Statistical processing, The statistics link the production in selected 6-digit activity codes from the Danish Industrial Classification 2007, which cover cultural and creative industries, to the production in the 117-industry classification of the national accounts. This enables the use of an input-output model to calculate the indirect effects in other industries. The indirect effects in sectors other than the cultural and creative industries are calculated by integrating the cultural and creative production into an input-output model. The calculations are based on ESA2010 and the supply and use matrices of the national accounts, which underpin the official national account figures., Read more about statistical processing, Relevance, The cultural industry has significant non-market activity, as well as considerable direct and indirect government support and contributions from private foundations. This statistics can capture these aspects and provide more accurate figures for the sector's economic impact, taking these factors into account. The statistics are based on a value chain approach, distinguishing between the arts, culture etc., are produced and practiced, as well as activities surrounding the creative and performed activities, such as wholesale, retail, distribution, etc. The statistics provide insights into the significance of the various components., Read more about relevance, Accuracy and reliability, The statistics are based on sources with uncertainties, such as weights from the General Enterprise Statistics and trade in goods and services, as well as assumptions made in the construction of national accounts and input-output tables. Preliminary versions of the most recent reference years and significant economic changes, such as COVID-19, contribute to additional uncertainty. The input-output table and model assumptions result in lower precision compared to directly observed data., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately three months after the release of a new reference year for the input-output tables and the final national accounts, which usually occurs at the end of June, i.e., approximately 20 months after the end of the reference year. This includes the release of both preliminary and final figures., The input-output tables are published once a year, simultaneously with the release of the final national accounts. The publication date for the final reference year is 2.5 years after its conclusion. The two preliminary years are published at the same time as the final year, 2.5 years after the end of the reference year., Read more about timeliness and punctuality, Comparability, The statistics were first compiled in 2024 with data going back to 2014. The statistics are comparable across the entire period. , It is possible to find statistics on the economy and employment in the cultural sector in other countries, even though there are no international guidelines for producing this type of statistics. The EU, Eurostat, and UNESCO also regularly publish reports that overlap thematically with these statistics and the cultural sector in general., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press realease, at the same time as the tables are updated in the StatBank. In the StatBank these statistics can be found under the subject , Economy in the cultural field, ., For more information, visit the topic page , Economy in the cultural field, ., Read more about accessibility and clarity

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

    Documentation of statistics

    Documentation of statistics: Manufacturers’ Sales of Goods (quarterly)

    Contact info, Short Term Statistics, Business Statistics , Morten Skovrider Kollerup , +45 24 52 61 68 , MSL@dst.dk , Get documentation of statistics as pdf, Manufacturers Sales of Goods (quarterly) 2024 Quarter 4 , Previous versions, Manufacturers’ Sales of Goods (quarterly) 2024 Quarter 3, Manufacturers’ Sales of Goods (quarterly) 2024 Quarter 2, Manufacturers’ Sales of Goods (quarterly) 2024 Quarter 1, Manufacturers’ Sales of Goods (quarterly) 2023 Quarter 4, Manufacturers’ Sales of Goods (quarterly) 2023 Quarter 3, Manufacturers’ Sales of Goods (quarterly) 2023 Quarter 2, Manufacturers’ Sales of Goods (quarterly) 2023 Quarter 1, Manufacturers’ Sales of Goods (quarterly) 2022 Quarter 4, Manufacturers’ Sales of Goods (quarterly) 2022 Quarter 3, Manufacturers’ Sales of Goods (quarterly) 2022 Quarter 2, Manufacturers’ Sales of Goods (quarterly) 2022 Quarter 1, Manufacturers’ Sales of Goods (quarterly) 2021 Quarter 4, Manufacturers’ Sales of Goods (quarterly) 2021 Quarter 3, Manufacturers’ Sales of Goods (quarterly) 2021 Quarter 2, Manufacturers’ Sales of Goods (quarterly) 2021 Quarter 1, Manufacturers’ Sales of Goods (quarterly) 2020 Quarter 4, Manufacturers’ Sales of Goods (quarterly) 2020 Quarter 3, Manufacturers’ Sales of Goods (quarterly) 2020 Quarter 2, Manufacturers’ Sales of Goods (quarterly) 2020 Quarter 1, Manufacturers’ Sales of Goods (quarterly) 2019 Quarter 4, Manufacturers’ Sales of Goods (quarterly) 2019 Quarter 3, Manufacturers’ Sales of Goods 2019 Quarter 2, Manufacturers’ Sales of Goods 2019 Quarter 1, Manufacturers’ Sales of Goods 2018 Quarter 4, Manufacturers’ Sales of Goods 2018 Quarter 3, Manufacturers’ Sales of Goods 2018 Quarter 2, Manufacturers’ Sales of Goods 2018 Quarter 1, Manufacturers’ Sales of Goods 2017 Quarter 4, Manufacturers’ Sales of Goods 2017 Quarter 3, Manufacturers’ Sales of Goods 2017 Quarter 2, Manufacturers’ Sales of Goods 2017 Quarter 1, Manufacturers’ Sales of Goods 2016 Quarter 4, Manufacturers’ Sales of Goods 2016 Quarter 3, Manufacturers’ Sales of Goods 2016 Quarter 2, Manufacturers’ Sales of Goods 2016 Quarter 1, Manufacturers’ Sales of Goods 2015 Quarter 4, Manufacturers’ Sales of Goods 2015 Quarter 3, Manufacturers’ Sales of Goods 2015 Quarter 2, Manufacturers’ Sales of Goods 2015 Quarter 1, Manufacturers’ Sales of Goods 2014 Quarter 4, Manufacturers’ Sales of Goods 2014 Quarter 1, The purpose of the statistics is to describe the Danish industrial production by detailed type of goods. Manufacturers' sales of goods is the source for Danish Prodcom statistics, regulated by and submitted to Eurostat., Statistical presentation, The statistics describe manufacturers' sales of goods measured in terms of volume and value by detailed types of goods according to the international classifications CN and SITC. In addition to this, total sales (turnover) are distributed by industries (NACE groups)., The data collecting for the statistics for 2020 has partly been affected by the COVID-19 situation. However, it is assessed that the overall statistics has not been affected in any great extent., Since 2020, Statistics Denmark has carried out extensive work to ensure the quality of the reports from the largest companies. This has led to some audits for the years 2018 to 2022., Read more about statistical presentation, Statistical processing, Data are collected through a quarterly survey of all enterprises in manufacturing (including mining and quarrying) with at least 10 employees or a yearly turnover over 100 mio. dkk, approx. 3,000 units. Reported data are validated, by checking against previous reports as well as against other sources. Data are then aggregated by industrial groupings as well as commodity groups. Series with seasonality are seasonally adjusted., Read more about statistical processing, Relevance, The statistics are in high demand from many different users, including the National Accounts, ministries, trade associations, market analysts, researchers, consultants and businesses., Read more about relevance, Accuracy and reliability, The main non-sampling error is the measurement error concerning classification at the most detailed CN level, as respondents do not always report sales according to the correct codes. Furthermore, data on quantities are generally less reliable than those on values, as some respondents estimate quantities and others do not answer, implying that estimations must be made in the statistical production process., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published two months after the end of the reference quarter. Publications are released on time, as stated in the release calendar., Read more about timeliness and punctuality, Comparability, In its present form and as available in StatBank Denmark, the statistics are comparable since 1995, but the statistics have been produced in some form since 1905. The Prodcom-version of the statistics can be compared to Prodcom statistics of other EU countries. The statistics can be compared to Foreign Trade in Goods to create statistics on apparent consumption - for this, it is important to note the difference in coverage and the potential quality issues at the most detailed CN code level. The tables with sales by industry are consistent from 2000 following the DB07 classification. , Read more about comparability, Accessibility and clarity, These statistics are published annually at the beginning of March in a Danish press release. Quarterly figures are published in the StatBank under , Purchases and sales by manufacturing industries, . Internationally, these statistics are available through Eurostat's , database, and at the UN, where the statistics are disseminated under , Industrial Commodity Statistics, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/manufacturers--sales-of-goods--quarterly-

    Documentation of statistics

    Documentation of statistics: Reported Criminal Offences (Quarterly)

    Contact info, Population and Education, Social Statistics , Iben Birgitte Pedersen , +45 23 60 37 11 , ipe@dst.dk , Get documentation of statistics as pdf, Reported Criminal Offences (Quarterly) 2025 Quarter 1 , Previous versions, Reported Criminal Offences (Quarterly) 2024 Quarter 4, Reported Criminal Offences (Quarterly) 2024 Quarter 3, Reported Criminal Offences (Quarterly) 2024 Quarter 2, Reported Criminal Offences (Quarterly) 2024 Quarter 1, Reported Criminal Offences (Quarterly) 2023 Quarter 4, Reported Criminal Offences (Quarterly) 2023 Quarter 3, Reported Criminal Offences (Quarterly) 2023 Quarter 2, Reported Criminal Offences (Quarterly) 2023 Quarter 1, Reported Criminal Offences (Quarterly) 2022 Quarter 4, Reported Criminal Offences (Quarterly) 2022 Quarter 3, Reported Criminal Offences (Quarterly) 2022 Quarter 2, Reported Criminal Offences (Quarterly) 2022 Quarter 1, Reported Criminal Offences (Quarterly) 2021 Quarter 4, Reported Criminal Offences (Quarterly) 2021 Quarter 3, Reported Criminal Offences (Quarterly) 2021 Quarter 2, Reported Criminal Offences (Quarterly) 2021 Quarter 1, Reported Criminal Offences (Quarterly) 2020 Quarter 4, Reported Criminal Offences (Quarterly) 2020 Quarter 3, Reported Criminal Offences (Quarterly) 2020 Quarter 2, Reported Criminal Offences (Quarterly) 2020 Quarter 1, Reported Criminal Offences (Quarterly) 2019 Quarter 4, Reported Criminal Offences (Quarterly) 2019 Quarter 3, Reported Criminal Offences (Quarterly) 2019 Quarter 2, Reported Criminal Offences (Quarterly) 2019 Quarter 1, Reported Criminal Offences (Quarterly) 2018 Quarter 4, Reported Criminal Offences (Quarterly) 2018 Quarter 3, Reported Criminal Offences (Quarterly) 2018 Quarter 2, Reported Criminal Offences (Quarterly) 2018 Quarter 1, Reported Criminal Offences (Quarterly) 2017 Quarter 4, Reported Criminal Offences (Quarterly) 2017 Quarter 3, Reported Criminal Offences (Quarterly) 2017 Quarter 2, Reported Criminal Offences (Quarterly) 2017 Quarter 1, Reported Criminal Offences (Quarterly) 2016 Quarter 4, Reported Criminal Offences, Quarter 2016 Quarter 3, Reported Criminal Offences, Quarter 2016 Quarter 2, Reported Criminal Offences, Quarter 2016 Quarter 1, Reported Criminal Offences, Quarter 2015 Quarter 4, Reported Criminal Offences, Quarter 2015 Quarter 3, Reported Criminal Offences, Quarter 2015 Quarter 2, Reported Criminal Offences, Quarter 2015 Quarter 1, Documents associated with the documentation, Engelsk_Voldtægtsforbrydelser_Anmeldelser_KVT (docx), offerrapport_2020_hovedtal (pdf) (in Danish only), offerrapport_2021 (pdf) (in Danish only), The purpose of the statistics is to show the number of criminal offenses in violation of the penal code and the special laws (except those contained in the Danish Road Traffic Act) to the police. The statistics on reported criminal offences date back to 1921, but are in its present form comparable from 1995 onwards., Statistical presentation, The statistics are a quarterly statement of the number of offences of penal code and special laws/legislation reported to the police or discovered by the police itself. The reported criminal offences can be broken down by type of offenses and geographical on regions and municipalities., Read more about statistical presentation, Statistical processing, The source of the statistics is The Central Register of Reported Criminal Offences - administered by the National Commissioner of the Danish Police. Data are delivered quarterly via System-to-system-transmission. The data go through a probability check in form of a comparison with data from the previous year, key variables are checked for valid values and irrelevant offences are deleted., Key series are seasonal adjusted. Seasonal adjustments are made for sexual offenses, crimes of violence, offence against property and other offences, as well as selected subcategories where there may be registered seasonal variations. Be aware that the effect of COVID-19 has made data more uncertain than usual., Read more about statistical processing, Relevance, The statistics are used broadly by the authorities, organizations, researchers, the press etc. as a basis for public and private planning, training, research and public debate. Views and suggestions from key users are taken into consideration in the preparation of the statistics., Read more about relevance, Accuracy and reliability, The statistics are made based on the data recorded at the time the extract is made. There is also produced an annual statistics for this area which is more complete. Comparisons between the quarterly statistics and the annual statistics reveal that the quarterly statistics under-estimate the number of reported criminal offences with approximately 6 percentages. There is, from quarter to quarter, a shift in the data; part of the registered reported crimes in a given quarter may refer to a previous quarter., The statistics do not include information on the hidden criminality, i.e. committed criminal offences not reported to the police., Read more about accuracy and reliability, Timeliness and punctuality, The publishing time for the statistics is about 20 days. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The statistics have been prepared on the same basis since 1995. Due to changes in the grouping of the criminal offences caution should be shown by comparing figures over time before this year., Read more about comparability, Accessibility and clarity, In StatBank the numbers on reported criminal offences are published in the tables , STRAF10, , , STRAF11, and , STRAF12, . , Furthermore the numbers are included in the publication , Kriminalitet (Criminality), . Se more on the statistics , Subject Page, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/reported-criminal-offences--quarterly-

    Documentation of statistics

    Documentation of statistics: Producer and Import Price Index for Commodities

    Contact info, Prices and Consumption, Economic Statistics , Nicklas Milton Elversøe , +45 61 15 35 98 , nel@dst.dk , Get documentation of statistics as pdf, Producer and Import Price Index for Commodities 2025 , Previous versions, Producer and Import Price Index for Commodities 2024, Producer and Import Price Index for Commodities 2023, Producer and Import Price Index for Commodities 2022, Producer and Import Price Index for Commodities 2021, Producer and Import Price Index for Commodities 2020, Producer and Import Price Index for Commodities 2019, Producer and Import Price Index for Commodities 2018, Producer and Import Price Index for Commodities 2017, Producer and Import Price Index for Commodities 2016, Producer and Import Price Index for Commodities 2015, Producer and Import Price Index for Commodities 2014, The statistics Producer and Import Price Index for Commodities show the price development of commodities in the first stage of transaction. The primary use is as deflators (converting nominal values to real values), but is also used as a business cycle indicator and for contract adjustments in the business sector. The index can be divided into Producer price index for commodities, Import price index for commodities and Price index for domestic commodities supply. The Price index for domestic supply of commodities can be traced back to 1876 and in the current form back to 1981. Producer Price Index for Commodities dates back to 2000 and Import Price Index for Commodities to 2005., Statistical presentation, The Producer and Import Price Index for Commodities contains monthly indices of the price development of commodities in the first stage of turnover (business-to-business), i.e. typically sales from producer to wholesaler or retailer, for commodities produced by Denmark for the domestic market and export, or for commodities imported into Denmark. The statistics are divided by product and industry groups., Read more about statistical presentation, Statistical processing, Approximately 7800 prices from selected producers and importers in Denmark. Of these, approximately 3800price reports for calculation of Producer Price Index for Commodities, approximately 3600 for calculation of Import Price Index for Commodities and approximately 5900 price reports are used to calculate the Price Index for Domestic Supply. The prices are validated automatically in connection with the collection. Unusually large price developments are subsequently checked manually. The validated price developments are then aggregated in a hierarchical system, where they are given weight according to their significance to the overall price index., Read more about statistical processing, Relevance, The Producer and Import price index for commodities serves as economic key figures, cyclical indicator, deflator and a contract regulations tool. The primary users of the statistics are the Danish National Accounts, business and stakeholders in the Danish economy. The statistics meet all the requirements of the EU in terms of industry coverage, aggregation level, frequency and publication date, etc., Read more about relevance, Accuracy and reliability, The prices covered by the data collection have a direct coverage of approximately 70 percent of total revenue in the Danish economy. Weights are based on the National Accounts product balances, which covers the main part of trading in the first stage of sales within the delimitation of the statistics. Sample units are selected on a purposive basis using a top-down approach. As a random sampling method is not being utilised a subsequent assessment of sampling error is not enabled. , Published statistics are considered final. , Producer and import price index for commodities are not considered to have an increased uncertainty due to COVID-19. Data collection has been largely not impacted as a result of the crisis and subsequent non-response levels have remained at their historically low levels., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published on a monthly basis. The statistics for a given month are published on the 15th of the following month or the first business day thereafter. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, Statistics Denmark has calculated variations of this statistic since 1876. The Producer and import price index for commodities can be found as an unbroken monthly time series from 2005 to today. The statistics have been prepared according to international standards and can therefore be compared to similar statistics from other European countries., Read more about comparability, Accessibility and clarity, The statistics are published monthly by Statistics Denmark via press release ", Nyt fra Danmarks Statistik, " (in Danish only) and specifically regard Producer and Import Price Index for Commodities., In the StatBank, the statistics are published under the topic , Producer and import price index for commodities, . , For more information visit the , subject page, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/producer-and-import-price-index-for-commodities

    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: Financial accounts for general government

    Contact info, Government Finances, Economic Statistics , Jacob König , +45 40 40 58 41 , COB@dst.dk , Get documentation of statistics as pdf, Financial accounts for general government 2025 , Previous versions, Financial accounts for general government 2023, Financial accounts for general government 2022, Financial accounts for general government 2021, Financial accounts for general government 2020, Financial accounts for general government 2019, Financial accounts for general government 2018, Financial accounts for general government 2017, Financial accounts for general government 2016, Financial accounts for general government 2015, Financial accounts for general government 2014, The purpose of the quarterly financial accounts for general government is to present a detailed picture of the holdings, transactions (buying and selling), other changes in volume and revaluations of financial assets/liabilities by financial instruments., To ensure international comparability the statistics comply with the European System of Accounts - ESA 2010., The annual financial accounts for general government has been published since 2001 while the quarterly financial accounts has been published since June 2002. The statistics is available from Q1 1995 and onwards., Statistical presentation, Quarterly financial accounts make up a consistent system, showing the financial flows and net worth of the general government sector of the economy over time. The financial accounts for the general government sector, the financial (transactions) account, which shows buying and selling of financial instruments, describes an important part of the transition from the opening balance sheet account to the closing balance sheet account. Because the financial instruments are valued at market price, another important part of the transition is made up by revaluations, which are shown in the revaluation account. The remaining part is found in the account of other changes in volume, showing e.g. losses on debtors and relocations of units between sectors. As a general rule opening balance sheet + financial transactions + revaluations + other change in volume = closing balance sheet should always hold. When published the revaluation account and the account of other change in volume are combined. The statistics is published both consolidated and unconsolidated and with counterpart information for the domestic and foreign sector, respectively. The economic measures and consequences of the COVID-19 pandemic affects the financial accounts for the general government, but the data quality is not significantly reduced., Read more about statistical presentation, Statistical processing, The main sources are the accounts of central and local government as well as social security funds. Additional information are received from, among others, the Central Bank. , Data are mainly received on a quarterly basis and validated using other data sources and, when necessary, directly with the data providers., The financial accounts for general government has with the compilation of Q2 2020 been revised for the period 2017-2020 as part of a major collaboration with Danmarks Nationalbank on the overall financial accounts for Denmark., Read more about statistical processing, Relevance, The users of , Quarterly financial accounts, are primarily expected to be Danmarks Nationalbank, financial institutions, economic ministries, lobby organizations, financial analysts (in general for the purpose of analysis, forecasting and modeling)., Read more about relevance, Accuracy and reliability, The quarterly financial accounts are based on a number of sources that may be influenced by a certain degree of inaccuracy, which may affect the quarterly financial accounts. Because of the consistency checks and the data confrontations carried out, the influence of the inaccuracy of the sources is, however, reduced., In principle, it is not possible to measure the level of inaccuracy. However, the net lending/net borrowing across the general government sector, which are calculated before the final balancing is carried out, are comparable with the same measure in the non-financial accounts. The differences can be regarded as a measure of accuracy for the national accounts as a whole., Read more about accuracy and reliability, Timeliness and punctuality, Data is published approximately at t+3 months., High degree of punctuality: Data has been published at the announced time since the first publication in 2003., Read more about timeliness and punctuality, Comparability, Comparison over time is high as there are no significant breaks in the time series, and none at all for the last 10 years., Internationally the level of comparison is high as the Danish national accounts follow the ESA 2010 guidelines., Read more about comparability, Accessibility and clarity, Current publications: The statistics are published in , News from Statistics Denmark (Nyt fra Danmarks Statistik, ), and in the series , Statistical News (Statistiske Efterretninger), ., Yearbooks:, Statistical Yearbook (Statistisk Årbog), and , Statistical Ten-year Rewiev (Statistisk Tiårsoversigt), ., http://www.Statbank.dk: Annually financial accounts and Quarterly financial accounts for the general government sector (updated quarterly) (OFF13 and OFF22)., Subject page: , Financial accounts, government finance, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/financial-accounts-for-general-government

    Documentation of statistics

    Climate

    THEME , Climate , The climate is changing, and there is increasing focus across the world on reducing greenhouse gas emissions from production and consumption. Here you can find statistics on the development in Denmark’s emissions of greenhouse gases, the emission sources and the climate footprint of Danish consumption. You can also read about what we do as a society to reduce the emissions., All themes , ON THIS PAGE, Emissions of greenhouse gases, Sources of emissions, The danish climate footprint, Efforts to reduce emissions, International comparisons, Go to top, On this page, Emissions of greenhouse gases, Sources of emissions, The danish climate footprint, Efforts to reduce emissions, International comparisons, Go to top, Emissions of greenhouse gases, When we, as a society, want to do something about climate change, our focus is on the emissions of greenhouse gases. An increasing concentration of greenhouse gases in the atmosphere contributes to the greenhouse effect, which is changing the planet’s climate system., Greenhouse gas emissions in Denmark in 2023, Get more figures in Statbank Denmark on greenhouse gas emissions, ., Denmark has a political goal to reduce greenhouse gas emissions by 70 per cent from 1990 to 2030. This target was adopted with the Danish , Climate Act, ., Reduction of greenhouse gas emissions in Denmark,   , Note: Emissions in Denmark, excl. CO2 from biomass incineration, and emissions and uptake from soil and forests., Source: , www.statistikbanken.dk/drivhus, International agreements and national targets most often measure the development since 1990. This key marker began with the Kyoto Protocol, which was the first agreement obligating countries to reduce total global emissions.,  , What are greenhouse gases?, The most important greenhouse gases are carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O) and F-gases (HFC, PFC, SF6 and NF3, used as a cooling agent, for example). An increasing concentration of greenhouse gases in the atmosphere contribute to the greenhouse effect, which is changing the planet’s climate system., Greenhouse gases are emitted, for example, in connection with the burning of petrol and oil, from livestock and use of fertilizer and from cement production., The individual greenhouse gases contribute in different ways to the greenhouse effect depending on their concentration and ability to absorb heat radiation. To be able to measure total emissions, they are converted to a common unit called CO2 equivalent., Three ways to report greenhouse gas emissions, Emissions in Denmark, are used to keep track of the development in relation to international climate targets, such as the commitments of the , Paris Agreement, and Denmark’s national targets in the , Climate Act, ., In addition to the emissions in Denmark, , Emissions from the Danish economy, incl. Danish transport operations abroad, also include emissions from international transport, especially emissions from the oil used by Danish-run vessels that are bunkered (refuelled) abroad. The assessment allows us to analyse the relationship between different economic activities and their impact on the environment and the climate., The Danish climate footprint, is the emissions caused by Danish consumption and other final use – regardless if the emissions happen in Denmark or in other countries via import of goods to Denmark. In turn, emissions from production for Danish exports are not included. The climate footprint shows how Danish consumption contributes to global emissions of greenhouse gases. , Read an elaborate review of how greenhouse gas emissions are assessed (pdf in Danish)., You can learn more about Denmark’s path towards the target of reducing our emissions by 70 per cent by 2030 on the website of the Danish Council on Climate Change (mainly in Danish): , Klimarådet, ., If you are looking for information on climate, climate change and the effects of climate change on our planet, you can find further information on a climate topic page by the Danish Meteorological Institute (in Danish): , DMIs temaside om klima, ., Economic growth and emissions, Denmark has seen economic growth (an increase in GDP) almost every year since 1990. The only exceptions being the financial crisis and COVID-19. The greenhouse gas emissions from the Danish economy have not increased at the same rate as the growth in the economy. After 2006, emissions have generally been declining. A major part of the decline in greenhouse gas emissions is due to the green transition, which here is especially focused on the transition to renewable energy and the implementation of energy efficiency measures. However, it is a contributory factor that the structure of the Danish economy has changed over the period, so that manufacturing plays a less significant role and services a more prominent role.,  , Economic growth (GDP) and greenhouse gas emissions (index 1990=100), In Statbank Denmark, you can find more data on Economic growth and greenhouse gas emissions (TEMA9001), Note: Emission from the Danish economy, incl. Danish transport operations abroad, excl. CO2 from biomass incineration and emissions and uptake from soil and forests.,  , The environmental-economic accounts, The environmental-economic accounts, are a set of internationally comparable accounts highlighting the interaction between the environment and the economy. The environmental-economic accounts provide a basis for examining areas such as green growth, energy consumption, natural resources and society’s expenditure on protection of the environment and nature., Sources of emissions, The Danish greenhouse gas emissions come from a number of activities associated with production and consumption: This could be, for example, from agricultural production, energy production and manufacturing or from the consumption by families. As the Danish economy has a high level of activity in transport abroad, a major share of total emissions come from Danish transport operations abroad. How we manage our land use - for agricultural crops or forests - also has an effect on our emissions. , Greenhouse gas emissions from companies, The biggest reduction in emissions is in the industry , utility services, , which includes for example, power plants and wind turbines., Agriculture, forestry and fishing, is the industry with the highest emissions in Denmark. This industry’s share of the corporate sector’s total emissions has increased since 1990, as emissions have declined at a significantly higher rate in other industries., Other companies cover, for example, , trade and transport, construction, public administration and services, , and these account for approximately a quarter of emissions from the corporate sector., Emissions from different industries, In Statbank Denmark, you can find more data on Greenhouse gas accounts (TEMA9005), Note: Emissions in Denmark, excl. CO2 from biomass incineration, and emissions and uptake from soil and forests., Agriculture, forestry and fishing, Agriculture contributes with approximately 95 per cent of the emissions from the industry , agriculture, forestry and fishing, . The greenhouse gas emissions from this industry are distributed on methane, nitrous oxide and CO2. The methane emissions are mainly from livestock, whereas nitrous oxide is mainly from nitrogenous fertiliser. The CO2 accounted for by the industry , agriculture, forestry and fishing, comes mainly from energy consumption and liming of agricultural soil. Emissions of nitrous oxide as well as CO2 from agriculture have been declining since 1990, whereas emissions of methane have been more or less constant.,   , In Statbank Denmark, you can find more data on Emissions from agriculture, forestry and fishing (TEMA9010), Energy supply, A major part of greenhouse gas emissions comes from the production and consumption of fossil energy. Denmark’s total production of energy is measured in PJ, which is short for petajoule and is used to measure energy contents, thus facilitating comparison across energy types. Denmark’s energy production consists of oil, natural gas and renewable energy, such as biomass, wind power and solar power., Denmark’s total energy consumption has been more or less constant since 1990. For a period between the late 1990s and the mid-2010s, Denmark was self-sufficient in energy. In later years, Denmark has imported energy to cover the consumption., Production of primary energy and gross energy consumption in Denmark, Note: The energy consumption is stated without Danish transport operations abroad., Sources: , www.statistikbanken.dk/ene2HO, and , www.statistikbanken.dk/ene3H, Manufacturing industries, Within the manufacturing industries, it is especially the manufacture of plastic, glass and concrete that contributes to the emissions of greenhouse gases. This has to do with energy-intensive processes and with CO2 being released from the limestone applied in the manufacture of cement., In Statbank Denmark, you can find more data on Greenhouse Gas Accounts (in CO2 equivalents) (DRIVHUS), Emissions from the Danish economy, incl. Danish transport operations abroad, Whether the greenhouse gas emissions have declined since 1990 depends on whether we include emissions from Danish transport operations abroad. Emissions from Danish transport operations abroad are not included in the compilation of emissions in Denmark; whereas they are included in the environmental-economic accounts (see factbox). ,  , In Statbank Denmark, you can find more data on Greenhouse gas emissions (TEMA9007), Note: Emissions exclusive of CO2 from biomass incineration, and emissions and uptake from soil and forests.,  , International transport is a substantial part of the Danish economy, and for that reason, the emissions from fuel for Danish transport operations abroad account for a significant share of total emissions. This applies in particular to Danish cargo ships, but also aircraft and lorries., Greenhouse gas emissions by industry. 2023, Source: www.statistikbanken.dk/DRIVHUS, Emissions from families, Greenhouse gas emissions from the energy consumption of Danish families come primarily from petrol and diesel for cars and from electricity and district heating. A part of it comes from domestic heating oil and natural gas for heating. The families’ emissions from electricity and district heating are indirect, as the energy comes from the utilities industry, but is consumed by the individual family. For that reason, these figures are also included in the emissions from companies. The steep decline in the families’ emissions from electricity and district heating can be linked with the green transition, which includes implementation of energy efficiency measures and the transition to renewable energy.,  , In Statbank Denmark, you can find more data on CO2 emissions from families' energy consumption (TEMA9006), Note: Emissions excl. CO2 from the households’ biomass incineration, such as wood pellets and firewood., The emissions from family car driving has been fairly constant since 1990, even though the number of cars on the roads has increased. This is owing to the cars becoming increasingly energy efficient.  Read more in the article , Flere biler trods grønne visioner (pdf in Danish), . With the declining emissions from electricity and district heating, CO2 from driving now accounts for a significantly higher share of the emissions from families’ energy consumption since 1990., The decline in the emissions in 2020 is mainly due to less driving because people were working from home during COVID-19., In Statbank Denmark, you can find more data on Cars and their C02 emissions (TEMA9013), Emissions and uptake from soil and forests, Parts of the emissions come from the growing of crops and other use of Denmark’s land areas. At the same time, forests absorb and bind part of the CO2 emissions. The total greenhouse gas emissions and the uptake from soil and forests are called LULUCF (Land Use, Land Use Change and Forestry)., Net emissions from soil and forests (LULUCF), In Statbank Denmark, you can find more data on Bridge table for Greenhouse Gasses (MRO2),  , Greenhouse gas emissions and uptake from soil and forests (LULUCF), Emissions and binding of greenhouse gases caused by changes in the amount of carbon stored in soil and biomass are often referred to as LULUCF. This is an acronym for ’Land Use, Land Use Change and Forestry’. The combined contribution from soil and forests may be positive or negative. LULUCF is not included in any other graphs on this page. Read more at , Danish Centre for Environment and Energy (DCE), at Aarhus University., The danish climate footprint, The climate footprint shows how Danish consumption contributes to global greenhouse gas emissions. The Danish climate footprint is the emissions caused by consumption in Danish households, the public sector and Danish investments – regardless if the emissions happen in Denmark or in other countries via imports of goods to Denmark. In turn, emissions from production for Danish exports are not included. , The Danish climate footprint 2023, Note: The climate footprint of Danish consumption covers all final use, which means consumption in Danish households and the public sector as well as Danish investments. Get more figures in Statbank Denmark on the , Danish climate footprint, ., Danish consumption has a bigger climate footprint abroad than in Denmark, and the share of emissions abroad is increasing., The Danish climate footprint in Denmark and the rest of the world, In Statbank Denmark, you can find more data on Climate footprint (experimental statistics) (AFTRYK1), The Danish climate footprint outside Denmark, Danish consumption leaves the biggest foreign climate footprint in China. Outside Europe, Danish consumption leaves a footprint particularly in USA and India, while in Europe, the emissions are mainly in Germany and Poland., Top-10 countries affected by the climate footprint of our imports, In Statbank Denmark, you can find more data on Climate footprint (experimental statistics) (AFTRYK1), You can read more about the Danish climate footprint in the analysis (in Danish) , Dansk forbrug sætter i høj grad sit klimaaftryk i udlandet, ., The Danish climate footprint is estimated in collaboration with the Danish Energy Agency. If you want to find further information on Denmark’s climate footprint, you can visit , Danish Energy Agency’s Global Reports, ., How to estimate the climate footprint, The climate footprint is calculated by linking an input-output model for the Danish economy with a multi-regional environmental-economic input-output (MRIO) model, which covers the whole world. The Danish model calculates emissions in Denmark that can be linked with Danish consumption and investments. The model also determines the volume of imports resulting from Danish consumption and investments. Next, the international input-output model EXIOBASE is used to calculate emissions in the rest of the world caused by Danish imports., Read further about the calculation of the Danish climate footprint in the , Documentation of statistics, ., The calculations involve a number of assumptions and estimates and are subject to significant uncertainty, especially for the emissions abroad. The underlying data in EXIOBASE is a combination of official statistics, projections and balancing procedures. For that reason, the calculations of the climate footprint should be considered as , experimental statistics, ., Efforts to reduce emissions, A series of different initiatives help reduce greenhouse gas emissions – for example, when fossil fuels are phased out and replaced with renewable energy, and the manufacturing industries produce more without increasing CO2 emissions. , Renewable energy, A major part of the decline in greenhouse gas emissions is due to the transition to renewable energy such as wind power, solar power and biomass.,   , Denmark’s consumption of renewable energy has grown many times as big as in 1990. ,   , In Statbank Denmark, you can find more data on Renewable energy's share of total gross energy consumption (SDG07021), The Danish production of renewable energy has not kept up with the increasing consumption. This means that the consumption of renewable energy is higher than the production of energy in Denmark. The remaining amount is imported from other countries and consists mainly of imported wood pellets and to a lesser degree wood chips, firewood, biofuel and biodegradable waste etc., Consumption and production of renewable energy, Note: Net imports of electricity (which may be produced from renewable sources) are not included in the consumption of renewable energy., Source: , www.statistikbanken.dk/ene2HO, What is renewable energy?, Forms of energy that have in common that they replenish themselves. The term is defined in the international guidelines for energy statistics. A distinction can be made between renewable sources that are inexhaustible (e.g. solar energy and wind energy) and those that are renewed relatively quickly (e.g. wood pellets and biogas). In Denmark, solid biomass (e.g. wood pellets), wind power, biogas and solar power are important forms of renewable energy., Biomass, The increase in renewable energy production comes especially from biomass. Biomass is, for example, straw, wood pellets or organic waste, which we burn to use the energy. The emission from biomass incineration has more than quadrupled since 1990., When biomass is incinerated, it emits CO2. However, the amount of CO2 emitted was stored in the plants while they were growing. If you plant a corresponding amount of new trees, they will store new CO2 in time. There are diverging views on how CO2 from biomass incineration should be incorporated when accounting for CO2 emissions., These emissions are often left out based on the assumption that they are neutral, because a corresponding amount of CO2 will be absorbed as new trees grow. This is practice in the reporting to the UN, for example., Emission of CO2 from biomass incineration, In Statbank Denmark, you can find more data on Greenhouse Gas Accounts (in CO2 equivalents) (DRIVHUS),   , The figures on greenhouse gas emission otherwise presented on this page do not include CO2 emissions from biomass incineration, e.g. wood pellets and firewood., In the environmental-economic accounts (see factbox), the emissions are included on equal terms with other emissions, but they have been assessed separately, so that you can include them or exclude them, depending on the purpose., You can also read more about biomass in the energy production in the article , Danmarks forbrug af biomasse til energi holder historisk højt niveau, (in Danish)., Less emission per DKK value added, Part of the green transition is making companies more efficient, which means that it will be possible to generate just as much or more value without causing higher greenhouse gas emissions., One way of measuring the efficiency of companies is to define an indicator of emissions per unit of added value. If the value of the indicator declines over time, it means that the companies have created added value without increasing emissions to the same extent. Altogether, all industries in Denmark have become more emission efficient since 1990. Among other things, this is owing to more efficient processes, energy savings and phasing out of fossil fuels, but also that industries with low emissions in proportion to value added (such as services) have grown more than industries with high emissions in proportion to value added (such as mining and quarrying)., In Statbank Denmark, you can find more data on Greenhouse gas emissions per. unit value added (TEMA9012), Note: Emissions from the Danish economy, incl. Danish transport operations abroad, excl. CO2 from biomass incineration and emissions and uptake from soil and forests., Environmental goods and services with climate purposes, The development towards lower greenhouse gas emissions is also affected by the corporate sector offering products that can increase the use of renewable energy or that have higher energy efficiency. This could be, for example, wind turbines, energy retrofitting of dwellings and energy consultancy.,  , These products and activities, which are targeting a number of environmental purposes, including reduced CO2 emissions, are shown as value added, employment and exports.,   , In Statbank Denmark, you can find more data on Environmental goods and services (GRON1), Electric cars, A major share of the emissions comes from the petrol and diesel used for transport. If electric cars replaced petrol and diesel cars, and the electricity used came from renewable energy sources, electric cars could be one of the ways to reduce emissions from transport.,   , In Statbank Denmark, you can find more data on Stock of passenger cars (BIL52),  , In Statbank Denmark, you can find more data on New registrations of passenger cars (BIL51), Energy taxes, In Denmark, we have taxes on most types of energy. Energy taxes have multiple purposes, one being to influence and reduce our consumption of energy. Energy taxes cover taxes on electricity, petrol, fuel oil etc., in addition to the carbon dioxide tax on various types of fuel., In Statbank Denmark, you can find more data on Environmental taxes (MRS1),  , See further in the analysis , Drivhusgasafgifter - hvad er det, og hvem betaler?, (in Danish),  , The UN’s Sustainable Development Goals (SDGs), Statistics Denmark reports on the UN’s 17 Sustainable Development Goals, and on our SDG platform, you can see a vast number of indicators showing how Denmark is doing in terms of fulfilling the Sustainable Development Goals., International comparisons, In proportion to the global greenhouse gas emissions, the Danish emissions only constitute a very small part. Obviously, the emissions of large countries with a large population are different from those of small countries such as Denmark. Big countries and economies, such as China and USA, are also the biggest emitters of greenhouse gases., Source: Data from Climate Watch via Our World in Data, available at , Our World in Data - Greenhouse gas emissions, Emissions per capita in European countries, Instead of looking at the greenhouse gas emissions of individual countries, you can look at the average emissions per capita., The average emissions per capita in Denmark are slightly lower than the EU average. In the EU, the highest emissions per capita are found in Luxembourg, whereas Sweden have the lowest due to their high production of non-fossil energy from hydropower, for example., In Statbank Denmark, you can find more data on Greenhouse gas emissions per capita (TEMA9008), Renewable energy in selected countries, If we compare the share of energy consumption that comes from renewable energy sources in Denmark with that of the rest of the world, Denmark has a relatively high share. However, in comparison with Norway and Sweden, Denmark has a low share., There are also major differences in the type of renewable energy. While biomass and electricity from wind turbines are predominant in Denmark, and hydropower is predominant in Sweden, the high share of renewable energy production in Brazil is based on the incineration of sugar cane., Share of the energy consumption that comes from renewable energy sources, In Statbank Denmark, you can find more data on Renewable energy share of energy consumption (TEMA9003), Note: Exclusive of energy consumption from Danish transport operations abroad., Source: OECD, IEA World Energy Statistics and Balances., At , Eurostat’s topic page on climate, change, you can find further information on climate change and international data for comparison and for putting the Danish figures into perspective.,  ,  ,  , Contact person for this theme page, Maria Skytte Christiansen, T: 24 25 42 07, E: , mcr@dst.dk,  ,  

    https://www.dst.dk/en/Statistik/temaer/klima