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Short term trends

The short term economic development in Denmark is illustrated by a number of indicators. This development is shown in percentage in relation to, the previous period (t-1), three months before (t-3), the same quarter of the previous year (t-4) or the same month of the previous year (t-12) , The numbers of the short term economic development are updated on a daily basis at 8.05 am.,  , Period, Value, Dev.,  , National accounts,  ,  , t/(t-1),  , Gross domestic product, real growth , (DKK billion, 2020-price level chain figures),   Q2/25,   657,   1.0, Household consumption expenditure, real growth , (DKK billion, 2020-price level chain figures),   Q2/25,   273,   0.2, NPISH consumption expenditure, real growth , (DKK billion, 2020-price level chain figures),   Q2/25,   9,   0.0, Government consumption, real growth , (DKK billion, 2020-price level chain figures),   Q2/25,   148,   0.4, Gross capital formation, real growth , (DKK million, 2020-price level chain figures),   Q2/25,   149,399,   -2.1, Imports of goods and services, real growth, (DKK billion, 2020-price level chain figures),   Q2/25,   357,   3.4, Exports of goods and services, real growth , (DKK billion, 2020-price level chain figures),   Q2/25,   428,   3.7, Employment. National accounts , (persons),   Q2/25,   3,252,560,   0.2, Labour market,  ,  , t/(t-4),  , Jobs. WTA (number),   Q2/25,   3,477,261,   0.9, Jobs. Hours worked, WTA (1000 hours),   Q2/25,   1,069,309,   0.8, Indices of average earnings in Corporations and Organizations (1. qtr. 2005=100),   Q2/25,   162.9,   2.5, Indices og average earnings in the public sector, central government (1. qtr 2005=100),   Q2/25,   164.5,   2.1, Indices of average earnings in the public sector, local government (1. qtr. 2005=100),   Q2/25,   169.4,   5.2, Job vacancies,   Q2/25,   56,680,   2.1, Registered unemployment,  ,  , t/(t-12),  , Gross unemployment (converted into full-time) per cent of the labour force , 2),   Sep/25,   2.9,   0.0, Gross unemployment (converted into full-time),   Sep/25,   88,464.0,   0.9, Net unemployment (converted into full-time) per cent of the labour force , 2),   Sep/25,   2.6,   0.0, Net unemployment (converted into full-time),   Sep/25,   78,090.3,   0.6, ILO unemployment,  ,  , t/(t-3),  , ILO-unemployment rate , 2),   Sep/25,   6.1,   -0.6, Consumption,  ,  , t/(t-1),  , Retail trade index total (2021=100),   Sep/25,   98.1,   0.1, New registration of passenger cars (number),   Sep/25,   16,014,   6.2, Consumer confidence indicator,   Oct/25,   -19.5,   .., Industries,  ,  , t/(t-1),  , Number of persons employed in the construction industry total,   Q1/25,   198,314,   0.4, Domestic sales by VAT registered firms (DKK million),   Aug/25,   291,183,   -0.1, Industrial production index (2021=100),   Aug/25,   128.4,   -2.9,  ,  , t/(t-12),  , New registration of van and lorries (number) , 1),   Sep/25,   2,685,   0.9, Bankruptcies (number),   Sep/25,   551,   -9.8, Tendency Surveys,  ,  ,  , Sentiment indicators for construction , 1),   Oct/25,   100.2,   .., Sentiment indicators for industry , 1),   Oct/25,   92.3,   .., Sentiment indicators for service sector , 1),   Oct/25,   105.4,   .., Sentiment indicators for retail trade , 1),   Oct/25,   104.3,   .., Property Market,  ,  , t/(t-1),  , Construction Cost Index for residential buildings (2021=100) , 1),   Q2/25,   119.5,   1.3, Price index for one-family houses (2022=100),   Q2/25,   105.3,   0.6, Forced sales of real property (number),   Sep/25,   90.0,   5.9, External Trade and Balance of Payments,  ,  , t/(t-1),  , Import of goods (DKK milllion) , 1),   Aug/25,   71,471.1,   0.4, Export of goods (DKK million) , 1),   Aug/25,   75,468.7,   -10.7, Import of services (DKK milllion),   Q2/25,   208,331.4,   0.9, Export of services (DKK milllion),   Q2/25,   208,331.9,   -0.8, Balance of payments, surplus (DKK million) , 3),   Aug/25,   25,729.4,   -13,602.6, Prices,  ,  , t/(t-12),  , Consumer price index (2015=100),   Sep/25,   121.6,   2.3, Price index for Domestic Supply (2021=100),   Sep/25,   115.8,   -0.9, Price index for domestic supply (2021=100) - Mineral fuels, mineraloil and distilery products thereof,   Sep/25,   110.6,   -8.4, Producer price index for commodity (2021=100),   Sep/25,   139.1,   0.9, Import price index for commodity (2021=100),   Sep/25,   115.9,   -1.2, Government net lending,  ,  , t/(t-1),  , Government net lending (DKK million),   Q2/25,   28,852,   7.4, Interest and share rates,  ,  , t/(t-1),  , Share index OMXC20 (july 3rd 1989=100),   Sep/25,   1,523,   -3.1, Exchange rate, nominal effective Krone rate, monthly average (1980=100),   Oct/25,   107.0,   -0.2, Short interest rate, 3 month CIBOR (pct. p.a.) , 2),   Sep/25,   ..,   .., Long interest rate, 10-years central government bond (pct. p.a.) , 2),   Sep/25,   ..,   .., Footnotes, :, 1) Not seasonally adjusted, 2) Development in percentage point, 3) Development in DKK million

https://www.dst.dk/en/Statistik/temaer/overblik-dansk-oekonomi/Konjunkturindikatorer

Do we, as a society, benefit enough from our data?

For 40 years, Statistics Denmark has made data available to society in a secure way. The return is high and diverse when data is used for research, analysis and as the backdrop to important decisions in society. But should we – as a society – be satisfied with the present opportunities when the benefits could be even greater?, 9 June 2023 8:00 ,  , Today, it is registered when you see a doctor and buy medicine at the pharmacy. It is reported when you get paid, who pays it and which car you drive. You are part of the statistics when you go to the cinema and when you play badminton in your spare time. Data is also collected when you rent a holiday home, when you shop online, and when you use electricity, water and heating., Data is playing an ever greater role in all respects, and data is generated and collected in constantly new fields. The digitisation from end to end of all sorts of things generate data about all Danes every day – as citizens, as users (of public service), as businesses and as customers., The chief question in a data-driven world is then what is going to happen with all the data that is generated?  Who should be able to access it, for what, and how should the access to data be granted now and in the future?, A key element of democracy, Perhaps you worry what the vast amount of data can be used for.  That’s understandable. Therefore, it is important that your data and society’s data is treated with the necessary confidentiality in a secure environment that does not allow the individual citizen or business to be identified. Safeguarding this is one of our core competences., Statistics Denmark is a child of democracy and was established as an independent statistical agency in 1850 – the year after Denmark’s democratic constitution was passed. Then as now, reliable official statistics are a key element of a democratic Denmark. Statistics Denmark complies with the common European rules on, e.g., professional independence, impartiality, confidentiality, reliability and accessibility. As a citizen, you can rest assured that data about you will not fall into the wrong hands, once it is behind our safety barriers., Over the past 40 years, we have made public data available to Danish society – especially for research and analysis, so that the immense knowledge that lies in data can benefit society. We have access to all public registers thus ensuring that there is public and democratic access through us to the information that public authorities collect as part of our welfare society., Denmark’s Data Portal, Statistics Denmark has a dual responsibility, which we take very seriously. On the one hand, we are obliged to take good care of data – on the other hand, we have a duty to share it, so that it may create value. We have come up with good solutions to this dilemma., In 2022, we took the first step towards what we call Denmark’s Data Portal. The portal will make it even easier for researchers and analysts to use our data, and in the future, it will be possible to provide access to more data than that which is part of our current statistical production. Obviously, in a way that maintains data confidentiality., The benefit to society is manifold: Stronger research, better policy development, evidence-based practices, greater knowledge and better decision-making at all levels of society. The more data we include, the greater the potential benefit to society., More data on society should benefit the community, There is also an increasing amount of privately held data. Data created by private businesses as part of their efforts to service and understand their users and customers even better. The businesses register when products are scanned at the supermarket, and the banks know where and when we use our credit cards. It is also registered when we use our travel cards or drive through the tollbooth at the Great Belt Bridge or the Oresund Bridge. And much, much more. All of it data that can also be used – if handled securely – for statistics and analysis to the benefit of all of us, and not just to the advantage of the businesses and organisations collecting it., Shortly before the pandemic, Statistics Denmark was granted access to electricity meter data from Energinet, which is an independent public company running Denmark’s energy infrastructure. Access to this data enabled us to conclude, for instance, that there were no signs of any significant decline in the level of activity in Danish industry in spite of the pandemic. An important and reassuring piece of information that we would not have been able to provide that quickly without the electricity meter data. And a very good example of how Statistics Denmark’s access to data from private suppliers benefits society and our common knowledge., We believe that all kinds of data created in Danish society about Danish society and citizens of Danish society should benefit society – and we are happy to be of service in that context., Common access, In international statistical circles, there is currently talk of the need to establish national data stewards. It is necessary to ensure common access to using society’s data – both public and private – for the common good. This is a role that Statistics Denmark has held and developed over many years when it comes to data from the public sector. At the moment, we are developing this role further with Denmark’s Data Portal., However, there is huge potential for creating further value for society, a value that will grow as the Data Portal gradually includes more data. Not just data from the public sector, but also data created in the private sector that can safely be made available to society based on the virtues and obligations that rest with us as the official national statistical authority., Our imagination is the only limit to the potential gain to society.

https://www.dst.dk/en/Statistik/nyheder-analyser-publ/rigsstat-klumme/2023/2023-06-09-faar-vi-som-samfund-nok-ud-af-vores-data

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 2021 , Previous versions, 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: Labour Force Survey (LFS)

Contact info, Labour Market, Social Statistics , Daniel F. Gustafsson , +45 20 51 64 72 , DFG@dst.dk , Get documentation of statistics as pdf, Labour Force Survey (LFS) 2025 Quarter 2 , Previous versions, Labour Force Survey (LFS) 2025 Quarter 1, Labour Force Survey (LFS) 2024 Quarter 4, Labour Force Survey (LFS) 2024 Quarter 3, Labour Force Survey (LFS) 2024 Quarter 2, Labour Force Survey (LFS) 2024 Quarter 1, Labour Force Survey (LFS) 2023 Quarter 4, Labour Force Survey (LFS) 2023 Quarter 3, Labour Force Survey (LFS) 2023 Quarter 2, Labour Force Survey (LFS) 2023 Quarter 1, Labour Force Survey (LFS) 2022 Quarter 4, Labour Force Survey (LFS) 2022 Quarter 3, Labour Force Survey (LFS) 2022 Quarter 2, Labour Force Survey (LFS) 2022 Quarter 1, Labour Force Survey (LFS) 2021 Quarter 4, Labour Force Survey 2021 Quarter 3, Labour Force Survey 2021 Quarter 2, Labour Force Survey 2021 Quarter 1, Labour Force Survey 2020 Quarter 4, Labour Force Survey 2020 Quarter 3, Labour Force Survey 2020 Quarter 2, Labour Force Survey 2020 Quarter 1, Labour Force Survey 2019 Quarter 4, Labour Force Survey 2019 Quarter 3, Labour Force Survey 2019 Quarter 2, Labour Force Survey 2019 Quarter 1, Labour Force Survey 2018 Quarter 4, Labour Force Survey 2018 Quarter 3, Labour Force Survey 2018 Quarter 2, Labour Force Survey 2018 Quarter 1, Labour Force Survey 2017 Quarter 4, Labour Force Survey 2017 Quarter 3, Labour Force Survey 2017 Quarter 2, Labour Force Survey 2017 Quarter 1, Labour Force Survey 2016 Quarter 4, Labour Force Survey 2016 Quarter 3, Labour Force Survey 2016 Quarter 2, Labour Force Survey 2016 Quarter 1, Labour Force Survey 2015 Quarter 4, Labour Force Survey 2015 Quarter 3, Labour Force Survey 2015 Quarter 2, Labour Force Survey 2015 Quarter 1, Labour Force Survey 2014 Quarter 4, Labour Force Survey 2014 Quarter 3, The purpose of the Labour Force Survey (LFS) is giving a description of the labour market status of the population. The LFS gives insight into how many people are employed, unemployed or outside the labour force (economically inactive). The LFS also manages to measure information like how many people are working part time; how many hours men in their 30s or 40s usually work; or how many elderly people outside the labour market would like to have a job. The LFS has been conducted yearly since 1984, and from 1994 the survey has been conducted continuously throughout the year., Statistical presentation, The Labor Force Survey is a quarterly sample-based interview survey on the Danish population between 15 and 89 years. The survey sheds light on how many are employed, unemployed (LFS unemployed) or outside the labor force. The survey provides detailed data on e.g. hours worked, conditions of employment, job search, education by regions, age and sex. Consequently the survey can, among other things, estimate the number of employed people who work at home regularly; how many self-employed people who work during weekends; or how many people have have a part-time job. , Read more about statistical presentation, Statistical processing, The Labour Force Survey is the most comprehensive continuous survey in Denmark based on approx. 72,000 participants on an annual basis. The interviews are conducted by online interview or telephone. The survey is based on a stratified sample of the population. In drawing the sample administrative resources are used to obtain various background information on the people interviewed. The sample is weighted to measure the entire population in Denmark., Read more about statistical processing, Relevance, The Danish Labour Force Survey (LFS) is the contribution to the European LFS and data are delivered quarterly to the European Statistical office., Labour Force Surveys are carried out in every European country as well as in many other countries around the world following common concepts and guidelines. This makes the Labour Force Survey the best Danish survey for international comparisons on labour market statistics., Read more about relevance, Accuracy and reliability, The Labor Force Survey (LFS) has a relatively large sample and there are continuous improvements in enumeration methods. This provides reliable statistics for the population's connection to the labor market, although there is uncertainty linked to the selection of the sample and the structure of the non-response., In Q1 2016, the response rate was exceptionally low, creating greater uncertainty about the figures. Furthermore, web interview (CAWI) has been introduced as a new data collection method. The two factors created breaks in the time series. The breaks are corrected on the main series., Read more about accuracy and reliability, Timeliness and punctuality, The Labour Force Survey is published 1.5 months after the end of a reference period and usually without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The Labor Force Survey (LFS) has been conducted since 1994 and tables can be found at StatBank Denmark from 1996 onwards. A new enumeration method has been introduced, where the sources only go back to 2008. The new series therefore only go back to 2008 in comparable form. LFS is made according to the same guidelines in all EU countries and several other countries and is therefore well suited for international comparisons., Read more about comparability, Accessibility and clarity, These statistics are published quarterly and yearly in a Danish press release. In StatBank Denmark these statistics are published under the topic , Labour Force Survey (LFS), . For further information, see the , subject page, ., More detailed statistical data can be purchased via DST Consulting, see , customised statistics, ., It is also possible to access micro-data through , Statistics Denmark's Research Service, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/labour-force-survey--lfs-

Documentation of statistics

Documentation of statistics: Net 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, Net Price Index 2025 , Previous versions, Net Price Index 2024, Net Price Index 2023, Net Price Index 2022, Net Price Index 2021, Net Price Index 2020, Net Price Index 2019, Net Price Index 2018, Net Price Index 2017, Net Price Index 2016, Net Price Index 2015, Net Price Index 2014, Documents associated with the documentation, Notat-om-forbruger-og-nettoprisindekset-i-forbindelse-med-corona-krisen (pdf) (in Danish only), Vægtgrundlag 1991 til i dag (xlsx) (in Danish only), Weightings 2025 (xlsx), FPI-dokumentation - opdateret maj 2020 (pdf) (in Danish only), Vejledning til regulering med prisindeks (pdf) (in Danish only), Klassifikationskoder og beskrivelser (pdf), The purpose of the net price index is to measure the development of the prices, less indirect taxes and duties and including price subsidies, charged to consumers for goods and services bought by private households in Denmark. The index of net retail prices has been calculated since 1980, but there are estimated figures for the development in net prices back to February 1975. The weights were last adjusted in connection with calculating the index for January 2014 and are based on private consumption expenditure in 2012., Statistical presentation, The index of net retail prices shows the development of prices, minus indirect taxes plus subsidies, 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 (minus indirect taxes plus general subsidies) 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 index of net retail prices can best be characterized as a fixed weight index of a Laspeyres-type. The prices that are included in the index of net retail prices are not the prices paid by the consumers, but the purchase prices after deduction of indirect taxes and addition of subsidies (to the extent possible). The only exception to this is rent payments where the total rent, i.e. the share of rent payments, is included. The weights are calculated on the basis of data from the national accounts on final consumption expenditure of households in Denmark, distributed among 70 commodity groups. For each of these, a further division is made by using the detailed information on consumption expenditure from the Household Budget Survey., 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 index of net retail prices 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 index of net retail prices, 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 index of net retail prices. 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 index of net retail prices in connection with changes in the sample. The index of net retail prices is not seasonally adjusted., Read more about statistical processing, Relevance, The index of net retail prices 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 index of net retail prices as the sample is not randomly drawn, but the quality of the index of net retail prices 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 net 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 index of net retail prices 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 index of net retail prices is related to the European Union harmonized index of consumer prices (HICP)., The European Union harmonized index of consumer prices (HICP) is based on actual consumer prices, whereas the index of net retail prices is based on the purchase prices after deduction of indirect taxes and VAT and addition of subsidies (to the extent possible)., From January 2001, the only difference between the national index of net retail prices and the HICP is apart from the price concept the coverage of goods and services, as owner-occupied dwellings is only recorded in the index of net retail prices and not in the HICP. , The index of net retail prices is also related to the consumer price index. 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 , Net Price Index, ., Read more about accessibility and clarity

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

Documentation of statistics

Specifically about re-proposals

Under ’Data content’, you will find your originally loaded data content.

https://www.dst.dk/en/TilSalg/data-til-forskning/anmodning-om-data/saerligt-om-genindstillinger

STRAF72: Arrests

residence in Denmark, type of offence and time
2015-2024 (Number)

https://www.statbank.dk/STRAF72

Tables in StatBank

Documentation of statistics: The Monthly Labour Force Survey (LFS)

Contact info, Labour Market, Social Statistics , Daniel F. Gustafsson , +45 20 51 64 72 , dfg@dst.dk , Get documentation of statistics as pdf, The Monthly Labour Force Survey (LFS) 2025 Month 09 , Previous versions, The Monthly Labour Force Survey (LFS) 2025 Month 08, The Monthly Labour Force Survey (LFS) 2025 Month 07, The Monthly Labour Force Survey (LFS) 2025 Month 06, The Monthly Labour Force Survey (LFS) 2025 Month 05, The Monthly Labour Force Survey (LFS) 2025 Month 04, The Monthly Labour Force Survey (LFS) 2025 Month 03, The Monthly Labour Force Survey (LFS) 2025 Month 02, The Monthly Labour Force Survey (LFS) 2025 Month 01, The Monthly Labour Force Survey (LFS) 2024 Month 12, The Monthly Labour Force Survey (LFS) 2024 Month 11, The Monthly Labour Force Survey (LFS) 2024 Month 10, The Monthly Labour Force Survey (LFS) 2024 Month 09, The Monthly Labour Force Survey (LFS) 2024 Month 08, The Monthly Labour Force Survey (LFS) 2024 Month 07, The Monthly Labour Force Survey (LFS) 2024 Month 06, The Monthly Labour Force Survey (LFS) 2024 Month 05, The Monthly Labour Force Survey (LFS) 2024 Month 04, The Monthly Labour Force Survey (LFS) 2024 Month 03, The Monthly Labour Force Survey (LFS) 2024 Month 02, The Monthly Labour Force Survey (LFS) 2024 Month 01, The Monthly Labour Force Survey (LFS) 2023 Month 12, The Monthly Labour Force Survey (LFS) 2023 Month 11, The Monthly Labour Force Survey (LFS) 2023 Month 10, The Monthly Labour Force Survey (LFS) 2023 Month 09, The Monthly Labour Force Survey (LFS) 2023 Month 08, The Monthly Labour Force Survey (LFS) 2023 Month 07, The Monthly Labour Force Survey (LFS) 2023 Month 06, The Monthly Labour Force Survey (LFS) 2023 Month 05, The Monthly Labour Force Survey (LFS) 2023 Month 04, The Monthly Labour Force Survey (LFS) 2023 Month 03, The Monthly Labour Force Survey (LFS) 2023 Month 02, The Monthly Labour Force Survey (LFS) 2023 Month 01, The Monthly Labour Force Survey (LFS) 2022 Month 12, The Monthly Labour Force Survey (LFS) 2022 Month 11, The Monthly Labour Force Survey (LFS) 2022 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(LFS) 2020 Month 09, The Monthly Labour Force Survey (LFS) 2020 Month 08, The Monthly Labour Force Survey (LFS) 2020 Month 07, The Monthly Labour Force Survey (LFS) 2020 Month 06, The Monthly Labour Force Survey (LFS) 2020 Month 05, The Monthly Labour Force Survey (LFS) 2020 Month 04, The Monthly Labour Force Survey (LFS) 2020 Month 03, The Monthly Labour Force Survey (LFS) 2020 Month 02, The Monthly Labour Force Survey (LFS) 2020 Month 01, The Monthly Labour Force Survey (LFS) 2019 Month 12, The Monthly Labour Force Survey (LFS) 2019 Month 11, The Monthly Labour Force Survey (LFS) 2019 Month 10, The Monthly Labour Force Survey (LFS) 2019 Month 09, The Monthly Labour Force Survey (LFS) 2019 Month 08, The Monthly Labour Force Survey (LFS) 2019 Month 07, The Monthly Labour Force Survey (LFS) 2019 Month 06, The Monthly Labour Force Survey (LFS) 2019 Month 05, The Monthly Labour Force Survey (LFS) 2019 Month 04, The Monthly Labour Force Survey (LFS) 2019 Month 03, The Monthly Labour Force Survey (LFS) 2019 Month 02, The Monthly Labour Force Survey (LFS) 2019 Month 01, The Monthly Labour Force Survey (LFS) 2018 Month 12, The Monthly Labour Force Survey (LFS) 2018 Month 11, The Monthly Labour Force Survey (LFS) 2018 Month 10, The Monthly Labour Force Survey (LFS) 2018 Month 09, The Monthly Labour Force Survey (LFS) 2018 Month 08, The Monthly Labour Force Survey (LFS) 2018 Month 07, The Monthly Labour Force Survey (LFS) 2018 Month 06, The Monthly Labour Force Survey (LFS) 2018 Month 05, The Monthly Labour Force Survey (LFS) 2018 Month 04, The Monthly Labour Force Survey (LFS) 2018 Month 03, The Monthly Labour Force Survey (LFS) 2018 Month 02, The Monthly Labour Force Survey (LFS) 2018 Month 01, The Monthly Labour Force Survey (LFS) 2017 Month 12, The Monthly Labour Force Survey (LFS) 2017 Month 11, The Monthly Labour Force Survey (LFS) 2017 Month 10, The Monthly Labour Force Survey (LFS) 2017 Month 09, The Monthly Labour Force Survey (LFS) 2017 Month 08, The Monthly Labour Force Survey (LFS) 2017 Month 07, The Monthly Labour Force Survey (LFS) 2017 Month 06, The Monthly Labour Force Survey (LFS) 2017 Month 05, The Monthly Labour Force Survey (LFS) 2017 Month 04, The Monthly Labour Force Survey (LFS) 2017 Month 03, The Monthly Labour Force Survey (LFS) 2017 Month 02, The Monthly Labour Force Survey (LFS) 2017 Month 01, The Monthly Labour Force Survey (LFS) 2016 Month 12, The Monthly Labour Force Survey (LFS) 2016 Month 11, The Monthly Labour Force Survey (LFS) 2016 Month 10, The Monthly Labour Force Survey (LFS) 2016 Month 09, The Monthly Labour Force Survey (LFS) 2016 Month 08, The Monthly Labour Force Survey (LFS) 2016 Month 07, The Monthly Labour Force Survey (LFS) 2016 Month 06, The Monthly Labour Force Survey (LFS) 2016 Month 05, The Monthly Labour Force Survey (LFS) 2016 Month 04, The Monthly Labour Force Survey (LFS) 2016 Month 03, The Monthly Labour Force Survey (LFS) 2016 Month 02, The Monthly Labour Force Survey (LFS) 2016 Month 01, The Monthly Labour Force Survey (LFS) 2015 Month 12, The Monthly Labour Force Survey (LFS) 2015 Month 11, The Monthly Labour Force Survey (LFS) 2015 Month 10, The Monthly Labour Force Survey (LFS) 2015 Month 09, The Monthly Labour Force Survey (LFS) 2015 Month 08, The Monthly Labour Force Survey (LFS) 2015 Month 07, The Monthly Labour Force Survey (LFS) 2015 Month 06, The Monthly Labour Force Survey (LFS) 2015 Month 05, The Monthly Labour Force Survey (LFS) 2015 Month 04, The Monthly Labour Force Survey (LFS) 2015 Month 03, The Monthly Labour Force Survey (LFS) 2015 Month 02, The Monthly Labour Force Survey (LFS) 2015 Month 01, The Monthly Labour Force Survey (LFS) 2014 Month 12, The Monthly Labour Force Survey (LFS) Month 11, The monthly Labour Force Survey (LFS) supplements the quarterly survey with a higher frequency of numbers on employment and unemployment and is published earlier., Statistical presentation, The monthly labor force survey sheds light on the 15-74-year-old population's attachment to the labor market. Here, the population is divided into two main groups, namely people in the labor force and people outside the labor force. Persons in the labor force are further divided into two groups: employed and unemployed (LFS unemployed)., Read more about statistical presentation, Statistical processing, The monthly Labour Force Survey is based on sample with interviews and the figures are weighted with administrative resources. Due to the smaller sample size, the calibration of the weights is carried out using slightly more aggregated data than the quarterly LFS. The sample is weighted to represent the population as it was at the end of the previous quarter. Following the calibration, the series are benchmarked to their quarterly counterpart and seasonally adjusted. , The figures for the labour market status in December 2024 are partly based on information from administrative registers., Read more about statistical processing, Relevance, The monthly LFS supplements the quarterly LFS. Due to the smaller sample size in the monthly LFS, only aggregated series on the unemployment rate, employment rate and labour market participation rate are published.. The monthly results give a quick on going update on the development in the employment and unemployment. The monthly results are used by different users e.g. ministries, international organizations and journalists, but mainly by Eurostat., Read more about relevance, Accuracy and reliability, As a result of the smaller sample size and the lack of persons overlapping over between months the quality is lower in the monthly results compared to the quarterly results. This means that only selected key numbers on employment and unemployment are published. , Read more about accuracy and reliability, Timeliness and punctuality, The Monthly Labour Force Survey is published at the end of the following month from the reference month. The survey is published without any delays in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, In Eurostat's database the Monthly LFS exists back to 1983. This series, however, has a starting point in January 2008. This constitutes a break in series, which must be taken into consideration if long time series are constructed. Data is delivered to the Statistical Office of the European Union Eurostat monthly, where data for all EU countries can be found. Concerning this, one has to be aware of the methodological differences in producing the monthly data in all the EU countries ., Read more about comparability, Accessibility and clarity, The Monthly LFS is published in the table , AKU111M, : Labour force status in percentage by seasonally adjustment and employment status , The difference between the two unemployment figures is described here , Unemployment concepts, ., Data is every month and every quarter delivered to the Statistical Office of the European Union, , Eurostat, , where data for all EU countries can be found., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/the-monthly-labour-force-survey--lfs-

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