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Fishery

Structure and production statistics describes vessels and landings in the Danish fishing fleet. The fleet is populated by all registered Danish fishing vessels. Data on landings describes landings from Danish vessels nationally and internationally. Furthermore landings in Danish ports from vessels of all nationality are also described. Account statistics for fishery describes the economy of the Danish fleet, deriving from the accounts of the vessels. , Introduction, The fleet statistics describes the fleet by number of vessels, tonnage, engine power, type of vessel, vessel length and national region., Landings are described by main species, harbour of landing, regional sea of catch, landed weight, live weight and value of landing., Account statistics for fishery describes the economy by vessel length and year. The costs describes among other thing fuels consumption, landing costs and wages., Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Account Statistics for Fishery, Danish Vessels, Landings of fish, Key figures, In Statbank Denmark, you can find more data on Danish vessels (FISK1), In Statbank Denmark, you can find more data on Landings in Denmark (FISK3), In Statbank Denmark, you can find more data on Landings in Denmark (FISK3), In Statbank Denmark, you can find more data on Accounts statistics for fishery (average per unit) (FIREGN2), Accounts statistics for fishery (average per unit) by vessel length, items and time, 2022, 2023, ALL FISHINGFIRMS, Q.1 Population, units, 381, 350, Q.2 Sample, units, 188, 170, A.1 Operative assets, beginning of year, 1000 DKK, 39,961, 69,381, A.2 Vessel tonnage, GT, 169, 176, A.3 Vessel activity, days at sea, 132, 133, A.8 Fuel, 1000 litre, 193, 223, D GROSS OUTPUT, 1000 DKK, 7,953, 9,435, E COSTS, 1000 DKK, 6,422, 7,079, F OPERATING PROFIT, 1000 DKK, 1,531, 2,356, G FINANCIAL EXPENDITURES, 1000 DKK, 568, 1,468, H NET PROFIT, 1000 DKK, 963, 888, M ASSETS, END OF YEAR, 1000 DKK, 57,563, 74,326, N.3 Net capital, end of year, 1000 DKK, 21,064, 29,853, In Statbank Denmark, you can find more data on Accounts statistics for fishery (average per unit) (FIREGN2), Related content in Fishery , Tables in Statbank , Scheduled releases , Contact, Charlotte Spliid Hansen, Phone: +45 29 41 97 76, Mail: , chh@dst.dk

https://www.dst.dk/en/Statistik/emner/erhvervsliv/fiskeri-og-akvakultur/fiskeri

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Transport of goods by road

Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Transport of goods by road, Key figures, In Statbank Denmark, you can find more data on Goods road transport (factual data) (VG2), Goods road transport (factual data) by unit, type of transport and time, 2024Q3, 2024Q4, 2025Q1, 2025Q2, 2025Q3, Weight of goods loaded (1000 tonnes), ALL TYPES OF TRANSPORT, 40,994, 46,212, 43,369, 47,371, 41,267, National transport, 40,170, 45,417, 42,591, 45,673, 40,524, For hire or reward, 33,675, 39,327, 37,421, 39,394, 34,218, For own account, 6,495, 6,090, 5,170, 6,278, 6,307, International transport, total, 824, 795, 778, 1,698, 742, To Denmark from abroad, 200, 222, 203, 206, 222, From Denmark to abroad, 481, 348, 412, 423, 386, Other international transport, 143, 226, 163, 1,069, 134, Transport performance (mio. tonne-km), ALL TYPES OF TRANSPORT, 3,829, 4,359, 4,204, 4,244, 3,812, National transport, 3,348, 3,890, 3,620, 3,724, 3,322, For hire or reward, 2,912, 3,438, 3,236, 3,251, 2,931, For own account, 436, 451, 384, 474, 391, International transport, total, 480, 469, 583, 520, 490, To Denmark from abroad, 116, 145, 109, 116, 128, From Denmark to abroad, 299, 259, 383, 346, 291, Other international transport, 65, 66, 91, 59, 71, Total travelled km (mio. km), ALL TYPES OF TRANSPORT, 346, 369, 363, 363, 336, National transport, 311, 336, 322, 327, 302, For hire or reward, 255, 284, 269, 273, 246, For own account, 56, 51, 52, 54, 56, International transport, total, 35, 33, 42, 36, 34, To Denmark from abroad, 8, 8, 8, 6, 8, From Denmark to abroad, 21, 19, 26, 25, 18, Other international transport, 5, 6, 8, 4, 7, In Statbank Denmark, you can find more data on Goods road transport (factual data) (VG2), Related content in Transport of goods by road, Tables in Statbank , Scheduled releases , Contact, Peter Ottosen, Phone: +45 30 42 91 91, Mail: , pot@dst.dk

https://www.dst.dk/en/Statistik/emner/transport/godstransport/godstransport-med-lastbil

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Holiday and business trips

For decades Spain has been the favorite travel destination for Danes when it comes to long holiday travels with at least four overnight stays. Italy, France, Sweden and Germany normally also attract many Danish tourists. , Introduction, For decades Spain has been the favorite travel destination for Danes when it comes to long holiday travels with at least four overnight stays. Italy, France, Sweden and Germany normally also attract many Danish tourists., The statistics cover what countries we visit, how long we are there for but also what the purpose of the holiday visit was both in Denmark and abroad. The following are among the most common purposes:, Visit with family or friends, City break, Beach holiday, Holiday house, For long trips the transportation to the holiday destination is mostly frequently by plane. However, the car is most frequently used when it comes to shorter stays abroad with one, two or three overnight stays., The statistics are calculated from a sample survey among Danes aged 15 years or older and also covers numbers for business trips.The numbers cover how much money the holiday or business trips costed on average and whether the accommodation was a hotel/holiday center, holiday house or with family and friends., Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Leisure and Business Trips, Key figures, In Statbank Denmark, you can find more data on Holidays abroad (FF1), Holidays by time, duration, purpose and destination, Unit: , Per cent, Denmark, World outside Denmark, 2024, Less than four nights stays, Holiday home, 12, 5, Beach holiday, 34, 69, City travel, 0, 0, Nature, 0, 0, Visiting family and friends, 49, 21, Event travel, 0, 0, Four over nights stays or more, Holiday home, 19, 5, Beach holiday, 54, 77, City travel, 0, 0, Nature, 0, 0, Visiting family and friends, 23, 13, Event travel, 0, 0, In Statbank Denmark, you can find more data on Holidays (FF2), Related content in Holiday and business trips, Tables in Statbank , Scheduled releases , Contact, Karen Keller, Phone: +45 21 19 85 61, Mail: , kke@dst.dk, Majbrit Holst, Phone: +45 24 94 08 24, Mail: , mbj@dst.dk

https://www.dst.dk/en/Statistik/emner/erhvervsliv/overnatninger-og-rejser/ferie-og-forretningsrejser

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Holiday houses

Introduction, Holiday houses cover all holiday house rentals with at least 25 houses/apartments available for rental. Holiday houses which are rented privately are not part of the statistics., Overnight stays are calculated in rented and available house weeks. Rented house weeks are the number of days a house is rented divided by seven. Available house weeks are the number of houses available for rent for one week., Preliminary statistics are published every month. In addition, annual statistics are published at the end of April, which are distributed by municipalities, parts of the country and regions. Guests are distributed among these countries:,  , • Denmark, • Germany, • Norway, • Sweden, • The Netherlands, • Other countries,  , Geographically distributed data at the municipality level can be found on , Visit Denmarks,  website., Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Holiday houses, Key figures, In Statbank Denmark, you can find more data on Overnight stay (TURIST1), Letting of holiday houses, monthly by unit, nationality of the guest, period and time, Unit: , Number, 2024, 2025, Nights spent, Total, Whole year, 23,476,205, 23,046,212, Year to date, 23,476,205, 23,046,212, January, 548,744, 562,106, February, 710,875, 680,483, March, 1,465,205, 875,023, April, 1,481,263, 2,003,685, May, 2,123,705, 1,905,861, June, 2,273,219, 2,263,753, July, 4,194,807, 4,068,161, August, 3,945,031, 4,078,104, September, 2,279,890, 2,300,643, October, 2,645,929, 2,549,041, November, 848,842, 784,591, December, 958,695, 974,761, Denmark, Whole year, 6,036,233, 5,783,678, Year to date, 6,036,233, 5,783,678, January, 142,879, 141,679, February, 381,130, 351,282, March, 442,271, 252,959, April, 282,020, 431,512, May, 556,323, 485,249, June, 495,234, 544,591, July, 1,687,941, 1,671,305, August, 559,375, 497,979, September, 464,260, 439,426, October, 478,514, 457,004, November, 310,889, 291,495, December, 235,397, 219,197, Germany, Whole year, 15,641,451, 15,647,891, Year to date, 15,641,451, 15,647,891, January, 378,873, 391,808, February, 293,289, 287,155, March, 976,272, 575,235, April, 1,088,879, 1,433,991, May, 1,387,392, 1,283,971, June, 1,558,062, 1,515,972, July, 2,003,997, 1,938,064, August, 2,998,071, 3,275,982, September, 1,708,092, 1,763,665, October, 2,085,527, 2,018,035, November, 491,040, 454,650, December, 671,957, 709,363, In Statbank Denmark, you can find more data on Letting of holiday houses, monthly (FERIEH1), Related content in Holiday houses, Tables in Statbank , Scheduled releases , Contact, Karen Keller, Phone: +45 21 19 85 61, Mail: , kke@dst.dk, Majbrit Holst, Phone: +45 24 94 08 24, Mail: , mbj@dst.dk

https://www.dst.dk/en/Statistik/emner/erhvervsliv/overnatninger-og-rejser/feriehuse

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All types of overnight accommodation

These statistics cover the millions of overnight-stays that Danish and foreign guests have at hotels, holiday centers, hostels, campgrounds, as well as holiday homes and marinas in Denmark each year. , Introduction, The statistics are published monthly and annually., The category hotel and holiday centers also include motels, inns, guest houses, holiday centers and hostels. The monthly hotel statistics are calculated from reporting from hotels etc. with at least 40 beds, while the yearly statistics also include reports from hotels etc. with at least 10 beds., The monthly camping sites statistics are calculated from reporting from camping sites with a capacity of at least 75 guests per night, while the yearly statistics include all camping sites with a capacity of at least 10 per night., The statistics for marinas are voluntarily reported between May and September., Holiday houses cover all holiday house rentals with at least 25 houses/apartments available for rental. Holiday houses which are rented privately are not part of the statistics., Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Nights spent at hotels, holiday resorts and youth hostels, Key figures, In Statbank Denmark, you can find more data on Overnight stay (TURIST), Overnight stay by region, period, nationality of the guest, type of overnight accommodations and time, Unit: , Number, 2024, 2025, All Denmark, Year to date, Total, All types, 65,259,531, 65,950,858, Hotels, 19,983,774, 21,006,696, Holiday resorts , 4,905,602, 5,275,488, Camping sites, 12,179,686, 11,965,736, Youth hostels, 2,747,790, 2,705,813, Marinas, 1,966,474, 1,950,913, Holiday cottages, 23,476,205, 23,046,212, Denmark, All types, 30,996,022, 30,638,016, Hotels, 11,452,199, 11,921,666, Holiday resorts , 3,500,686, 3,625,187, Camping sites, 7,839,856, 7,354,158, Youth hostels, 1,217,465, 1,025,531, Marinas, 949,583, 927,796, Holiday cottages, 6,036,233, 5,783,678, World outside Denmark, All types, 34,263,509, 35,312,842, Hotels, 8,531,575, 9,085,030, Holiday resorts , 1,404,916, 1,650,301, Camping sites, 4,339,830, 4,611,578, Youth hostels, 1,530,325, 1,680,282, Marinas, 1,016,891, 1,023,117, Holiday cottages, 17,439,972, 17,262,534, In Statbank Denmark, you can find more data on Overnight stay (TURIST), Related content in All types of overnight accommodation, Tables in Statbank , Scheduled releases , Contact, Majbrit Holst, Phone: +45 24 94 08 24, Mail: , mbj@dst.dk, Karen Keller, Phone: +45 21 19 85 61, Mail: , kke@dst.dk

https://www.dst.dk/en/Statistik/emner/erhvervsliv/overnatninger-og-rejser/samlede-overnatningsformer

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Turnover in construction

These statistics break down the turnover in private construction activities by the nature of the activity (new buildings, repairs, civil engineering activities etc.). , Introduction, Turnover in construction is a set of quarterly statistics that breaks down the turnover in private construction activities by the nature of the activity (new buildings, repairs, civil engineering activities and other activities). The annual turnover for construction is further broken down into ten types of work:, New buildings and extensions, dwellings, New buildings and extensions, other buildings, Repair and maintenance, major repair work, dwellings, Repair and maintenance, major repair work, other buildings, Repair and maintenance, routine maintenance, dwellings, Repair and maintenance, routine maintenance, other buildings, Civil engineering activities, new construction, Civil engineering activities, major repair work, Civil engineering activities, maintenance, Other activities in total, The construction sector is divided into eight industries in the statistics:, 41000 Building contractors, 42000 General contractors, 43201 Electrical installation etc., 432200 Plumbing, heat and air-conditioning installation, 43301 Joinery and construction installation etc., 43302 Painting and glazing etc., 439910 Bricklayers, 43003 Other specialised construction activities., Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Turnover in construction, Key figures, In Statbank Denmark, you can find more data on Turnover in construction (BYGOMS2), Turnover in construction by industry (DB07), type of work and time, Unit: , m DKK, 2023, 2024, F Construction, Turnover, total, 368,496, 356,939, New buildings and extensions, 156,714, 147,424, New buildings and extensions, housing, 81,267, 69,573, New buildings and extensions, other, 75,447, 77,851, Repair and maintenance, total, 117,169, 117,098, Repair and maintenance, major repair, housing, 45,717, 42,656, Repair and maintenance, major repair, other, 19,248, 21,525, Repair and maintenance, maintenance, housing, 33,809, 36,197, Repair and maintenance, maintenance, other, 18,395, 16,719, Civil engineering, 77,912, 80,316, Civil engineering, new construction, 53,091, 55,511, Civil engineering, major repair, 13,635, 16,273, Civil engineering, maintenance, 11,187, 8,531, Other occupation, 16,701, 12,101, In Statbank Denmark, you can find more data on Turnover in construction (BYGOMS2), Related content in Turnover in construction, Tables in Statbank , Scheduled releases , Contact, Kasper Emil Dueholm Freiman, Phone: +45 23 45 47 32, Mail: , kfr@dst.dk

https://www.dst.dk/en/Statistik/emner/erhvervsliv/byggeri-og-anlaeg/byggeriets-omsaetning

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Shipping and ports

Port traffic shows the number of calls at the ports — in terms of ships, goods and passengers. The statistics are updated annually, and monthly in an experimental version. In addition, a calculation is made annually of the investments in the ports. , Introduction, Traffic in terms of port calls is compiled on the basis of ports by e.g. type of ship, size and flag state. The statistics also include investments in the ports and maintenance costs., With the exception of the monthly experimental statistics for ship calls at ports, the statistics are updated on an annual basis., Information on the ports comes directly from the ports, while information on investments are from the National accounts., The experimental port call statistics are based on vessel position data (AIS), which is collected by the Danish Maritime Authority.,  , Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Maritime Transport over Danish Ports, Port calls in Danish sea ports (experimental statistics), Key figures, In Statbank Denmark, you can find more data on Call of cargo ships and cruiser ships on major Danish ports (SKIB23),  ,  , In Statbank Denmark, you can find more data on Investment in seaports (SKIB2),  ,  , These statistics are categorized as 'experimental statistics'. In the , documentation, , it appears more precisely what lies in the experimental status of the statistics. For example, the methods may not be fully tested or new data sources may be used. , Read about Statistics Denmark's work with experimental statistics, ., In Statbank Denmark, you can find more data on Port calls in Danish ports (Experimental statistics) (AIS1),  ,  , Call of vessels, passengers and throughput of goods in traffic ports by time, seaport and unit, Ships calling at port, THROUGHPUT OF GOODS, TOTAL, 1000 PASSENGERS, TOTAL , 2024, PROVINCE BYEN KØBENHAVN, 2,329, 6,339, 696, PROVINCE KØBENHAVNS OMEGN, 1,730, 2,515, 0, PROVINCE NORDSJÆLLAND, 31,512, 6,734, 6,688, PROVINCE BORNHOLM, 4,169, 1,426, 2,154, PROVINCE ØSTSJÆLLAND, 1,288, 2,185, 75, PROVINCE VEST- OG SYDSJÆLLAND, 92,809, 26,366, 12,007, PROVINCE FYN, 43,646, 4,706, 2,747, PROVINCE SYDJYLLAND, 87,172, 16,084, 5,489, PROVINCE ØSTJYLLAND, 16,499, 14,031, 4,497, PROVINCE VESTJYLLAND, 128,036, 2,325, 1,348, PROVINCE NORDJYLLAND, 92,221, 11,040, 5,407, In Statbank Denmark, you can find more data on Call of vessels, passengers and throughput of goods in traffic ports (SKIB101), Related content in Shipping and ports, Tables in Statbank , Scheduled releases , Contact, Peter Ottosen, Phone: +45 30 42 91 91, Mail: , pot@dst.dk

https://www.dst.dk/en/Statistik/emner/transport/trafik-og-infrastruktur/skibsfart-og-havne

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Historical projects

Statistics Denmark has been involved in international cooperation projects since the beginning of the millennium. , Additional information and reports from the projects are available on request. If you are interested in information about a specific historical project please write an email to , internIR@dst.dk, and we will get back you. , Below there is a short description of some of the historical projects. In addition to these, we have been involved in many other projects on a smaller scale. , Armenia, Statistics Denmark implemented an EU-financed Twinning project in Armenia in cooperation with the national statistics institutions of Finland, Italy and Lithuania from August 2015 to August 2017. The beneficiary institution was the National Statistics Service of the Republic of Armenia, Armstat. The aim of the project was to support the upgrade of official statistics of Armenia by introducing new methodologies on statistics closely aligned to European standards and enhancing dissemination of official statistics to the society. , The project focused on six major components: , Dissemination and Quality of Statistics, Demographic Statistics and IT, Labour Market Statistics, Poverty Statistics, Innovation Statistics, Water Accounts , The project was the second EU Twinning project between Armstat and Statistics Denmark. The first project ran from 2011 to 2013., Bosnia-Herzegovina, Bosnia-Herzegovina 2021-2023, Statistics Denmark was implementing an EU-financed Twinning project in Bosnia and Herzegovina in cooperation with the national statistical institutions of Finland, Sweden and Italy. The project ran from March 2021 to March 2023. , The beneficiary institutions were: , Agency for Statistics of Bosnia and Herzegovina, Institute for Statistics of Federation of Bosnia and Herzegovina, Institute for Statistics of Republika Srpska, Central Bank of Bosnia and Herzegovina, Indirect Taxation Authority of Bosnia and Herzegovina., The overall objective of the project is to increase the volume of statistical data in/for BiH and further increase the compliance with EU Acquis, with the specific objective to strengthen the statistical system institutional capacities and to further harmonise statistics in BiH with EU standards by improving business statistics, balance of payments, agriculture and labour market statistics and to improve reporting/statistics on collected indirect taxes. , In general, the project addressed six independent components: , Component 1 - Business Statistics, with four subcomponents, C 1.1 - Statistical Business Register, C 1.2 - Structural Business Statistics, C 1.3.1 - Index of Production in Construction, C 1.3.2 - Index of Services Production, Component 2 - Agricultural Statistics, Component 3 - Administrative Data Sources, Component 4 - Labour Market Statistics, Component 5 - Balance of Payment Statistics – Central Bank, Component 6 - Macroeconomic Analysis Unit of the Governing Board of the Indirect Taxation Authority, You can read more about the project on Facebook: EU Twinning - Further Support to the Reform of Statistics System in BiH , Bosnia-Herzegovina 2018-2020, Statistics Denmark has implemented an EU-financed Twinning project in Bosnia and Herzegovina in cooperation with the national statistical institutions of Croatia, Finland and France. The project ran from January 2018 to April 2020. , The beneficiary institutions were:, Agency for Statistics of Bosnia and Herzegovina, Institute for Statistics of Federation of Bosnia and Herzegovina, Institute for Statistics of Republika Srpska, Central Bank of Bosnia and Herzegovina., The aim of the project was to strengthen the statistical system in Bosnia and Herzegovina and to increase the number of statistics, which is harmonised with EU standards. , The project focused on the following topics: , Component 1: National Accounts, Component 2.1: Statistical Business Register, Component 2.2: Structural Business Statistics, Component 2.3: Service Producer Price Index, Component 2.4: Construction Producer Price Index, Component 2.5: Tourism Statistics, Component 3: Balance of Payment and International Investment Position Statistics, You can read more about the project on Facebook: EUtwinningStatisticsBiH , Georgia, Statistics Denmark implemented an EU-financed Twinning project in Georgia. Our partner was the National Statistics Office of Georgia, Geostat. The implementation happened in cooperation with the national statistical institutes of the Czech Republic, Hungary, Finland and Lithuania. The project ran from April 2019 to July 2021. , The project has four main topics:, External Sector Statistics, National Accounts, Business Statistics, Social Statistics, The aim of the project is to assist Geostat in further improving statistical capacity and contributing to providing timely, internationally comparable and reliable statistical data. , You can also follow the project on Facebook: EUtwinningGeostat. , Egypt, From September 2008 to November 2010 Statistics Denmark and the Central Agency of Public Mobilisation and Statistics (CAPMAS) of Egypt implemented an EU Twinning project. The project was called "Institutional Capacity Building for the Central Agency of Public Mobilization and Statistics; and Developing the Legal Framework for Statistics in Egypt"., We implemented the project in partnership with Statistics Sweden, Statistics Finland, Central Statistical Bureau of Latvia and the Czech Statistical Office. The objective was to support the preparation of statistical policy and legislation and to build up the organizational capacity of CAPMAS to produce, publish and disseminate high quality statistics., The project focused on six major components:, Improvement of statistical legislation, Organisational reform, Increasing statistical awareness, Improved IT-function, Development of certain statistics such as national accounts, external sector statistics and price statistics , Israel, Statistics Denmark and the Israeli Central Bureau of Statistics (ICBS) implemented a two-year EUTwinning project from March 2016 to August 2018. Besides experts from Statistics Denmark, the project was implemented in cooperation with the national statistics institutions in the Netherlands, Poland and the UK., The project is a result of the bilateral ENP Action Plan between the EU and Israel., See the EEAS website for further details on the EU/Israel Action Plan, The project had four major components:, Quality management of official statistics, Micro-data services to researchers, Infrastructures for agricultural statistics, Methodological and geo-spatial tools for improving the quality and efficiency of field surveys, The purpose of the project was for the ICBS to align official statistics with standards, guidelines and best practices from the European Union and from international organizations like the IMF and the OECD., The project was a logical continuation of a previous EU Twinning project between Statistics Denmark and ICBS that ran from May 2013 to December 2014., Jordan, Between November 2013 and April 2015, Statistics Denmark implemented an EU Twinning project with the Department of Statistics of Jordan. We worked on the implementation together with Istat of Italy, the Central Statistics Bureau of Latvia and Northern Ireland Cooperation Overseas. , The topics were:, Ensuring quality control of statistical data through upgrading sampling methodologies, Implementing international and European methods in National Accounts , Quality of statistics , Developing IT systems for online dissemination of statistics, Kosovo, From December 2013 to March 2016, Statistics Denmark implemented an EU Twinning Project with the Kosovo Agency of Statistics. We worked with partners from Statistics Lithuania, Statistics Finland and Ni-Co Northern Ireland., The project had four components:, Quality Systems for Statistics, National Accounts, Business Statistics, Information Technology System, Mozambique, The project between Statistics Denmark, Statistics Norway and Statistics Sweden on one side and Instituto Nacional de Estatística of Mozambique (INE) ran from 2002 to the end of 2017. , Originally, the project was funded by the World Bank to support the newly formed national statistical institute (INE) with its first 5-year master plan, 1998-2002. , Long and short term advisors started helping INE to strengthen already existing systems and support the creation of new ones to build up an efficient system for the production of the statistical information required for planning, monitoring and evaluation of the country's development program. , During the period 2003-2007 an even more extensive project was created where Denmark, Norway and Sweden joined to directly finance both technical assistance and statistical activities. A consortium, Scanstat, was formed by Statistics Denmark (lead), Statistics Norway and Statistics Sweden provided technical assistance. , Since 2008, the financing of the project was made through the state budget by the government of Mozambique and a common fund, where UNFPA (lead), Norway and Sweden were signatories of the Memorandum of Understanding and contributing financially to the fund. Also Denmark, Canada, Italy, the World Bank, FAO and UNICEF were often participating as interested stakeholders in common meetings. , For the period 2013-2017, the contract between Scanstat and INE contained 111 months of long-term technical assistance, one in Institutional Development and one in Economic Statistics. There was also up to 207 weeks of short-term technical assistance covering all aspects of a modern staistical office in a developing country. Some of the activities were executed at other producers of official statistics in Mozambique such as the Ministry of Agriculture and Food Security. , INE has been supported by the Scandinavian countries for a long time and we have been in a prolonged phasing-out phase focusing on sustainability and empowerment of the national Mozambican staff. It is encouraging to see how INE is taking up its role within the African statistical society and now often act as promoter and a good example. , Ukraine, Statistics Denmark implemented an EU-financed Twinning project with the State Statistics Service of Ukraine from December 2013 to December 2015. INSEE France, Statistics Lithuania, Central Statistical Office of Latvia, Central Statistical Office of Poland, Statistics Finland, Statistics Sweden, Statistical Office of the Slovak Republic, INE of Spain and ISTAT Italy were also providing expertise to the project., The objective of the project was to develop Ukraine’s national system of official statistics in order to apply European standards in the area of statistics., The project had 13 components:, National Accounts, Consumer Price Index (CPI) Sample, Quality reports, Producer Price Index (PPI), Structural Business Statistics (SBS), Business Trends Survey, Agriculture Statistics, Foreign Trade Statistics, Statistical Business Register, Sample Surveys Methodology, Capital and Foreign Direct Investment, Household Living Conditions Survey, Effective Communi­cation with Media and Public, Promoting the Activity of the Statistical Office, Web Portal Solutions, Data Collection Process, The project was a follow-up to a previous EU Twinning project running from 2011 to 2013.

https://www.dst.dk/en/consulting/projects/historical-projects

Denmark is number 1 in E-government

A recent UN E-Government survey ranked Denmark the best performing country when it comes to offering digital services to citizens and companies. , 23 November 2022 9:00 ,  , Denmark is one of the leading countries when it comes to E-government. A recent UN E-Government survey ranked Denmark the best performing country when it comes to offering digital services to citizens and companies. Denmark is also doing very well in the , OECD Digital Government Index, . The foundation behind today’s digital success story goes back more than 50 years. And over the years digitalization has massively affected how we perceive and produce statistics. , The journey towards administrative data, Recently Statistics Denmark had three different study visits on the use of administrative data. It gave us a possibility to revisit the story of administrative data in Denmark. Reflecting on the Danish journey it becomes clear that the story is not just one of administrative data but one of digitization of the entire Danish public sector and society. In statistics we usually define administrative data as data collected for other purposes than statistics., In Denmark the use of administrative data is built on the holy trinity of the Central Personal Register (CPR), the Building and Housing Register (BBR) and the Central Business Register (CVR) – all being interlinked using unambiguous identifiers. These identifiers are used consistently at all levels of government and by civil society.,  , Schematic overview of interlinked administrative data sources in Denmark., The 1960’s – building the basic registers, When the Central Personal Register (CPR) was established in 1968, it was not constructed in order for Statistics Denmark to have a short cut to generate basic population statistics on any chosen day. The possibility of having a daily population and housing census was more like an unexpected side benefit., The political driver behind the CPR was tax collection. In order to make businesses responsible for deducting income taxes before handing over the rest of the salary to their employees, the government in general – and the tax authority in particular – needed a unique identifier and the correct address of every Dane. Or rather they needed the address of everyone having permanent residence in Denmark., Due to the fact that both companies and real-estate in Denmark are heavily taxed, the two other registers soon followed. In terms of statistics, these main registers worked – and worked well. In the Danish administrative setup (Ministries, Agencies, Regions and Municipalities), the main identifiers were consistently used to build new administrative systems. Storing administrative information on subjects such as education, social benefits, health records, car ownership, housing and taxes allowed the government to keep exact records of services provided to the population. This stored information greatly eased “day to day” administration. The availability of the unambiguous identifier also ensured that social services can only be provided once. The benefits of having a complete list of citizens, companies and buildings encouraged government authorities to build their administrative systems using these identifiers as they allow the authorities to share information.         , As the registers developed over the years, they allowed Statistics Denmark to produce nearly all social statistics using administrative data sources. This development was highly facilitated by the act on Statistics Denmark from 1966 which required all public administrative units to allow Statistics Denmark to access the raw individual data in their administrative systems., Advanced modelling of policy initiatives, In the 1980’s the Danish Ministry of Finance realized that the statistical registers at Statistics Denmark could be used to model the effects of proposed legislation. In the beginning, a 3% sample of the registers was used to keep the time for processing data to a minimum and thus affordable. Today simulations of proposed legislation or policy initiatives are based on the entire population. The work has been institutionalized under the so called “Legislative Model”. The Legislative Model is placed in a division in the Ministry of Finance and has access to micro data in an anonymized form. The Ministry of Finance has the same kind of access which pertains to authorized research institutions. This means that they can calculate the aggregates but cannot access the individual data. So it is possible for the Ministry of Finance to calculate that e.g. 2,345 people will be affected by a piece of legislation. But they cannot see who these people are. The access to data through Statistics Denmark’s means that the Ministry of Finance has a one-stop-shop for their data needs and do not have to collect data from other administrative units. This use of statistical registers was part of the vision behind the act on Statistics Denmark from 1966 as it also enabled Statistics Denmark to provide data access for modelling and research. ,   , Presentation of the Danish model for simulation of policy initiatives, By Nicolai Steinmetz Møller from the Danish Ministry of Finance., The 2000’s - a new push towards digitalization of the society, In the early 2000’s the Danish Ministry of Finance began to think in terms of digitization in the first instance understood as digital communication and later also as self-service. The journey can best be described as starting in 2001 when it was decided that citizens and companies could send e-mails to the public sector and they could communicate digitally. So starting that year civil servants had to read emails and interact electronically if the users wanted to. The push in the early 2000’s was initiated by the internet, which made electronic mail readily available as an easy way of communication. The computing power on the big expensive main frame computers was suddenly replaced by the personal computers bringing computers to the public.,  , Director Rikke Zeberg from the Confederation of Danish Industry briefs the Ghanaian delegation on Denmark’s Digital Journey. Rikke Zeberg was the first director of the Agency of Digital Government under the Ministry of Finance making her one of the main architects of Denmark’s Digital Journey.    , The 2010’s - Companies must now both read and answer their e-mails, In 2011, the decision on electronic communication was reversed and companies and citizens alike were required to communicate with the government by email and the use of relevant self-services. In retrospect, the postal service in Denmark has always been considered so reliable that if a public authority mailed a letter, then people were considered as having been notified. , Now suddenly citizens did not have to look for letters from Statistics Denmark or the tax authority in their mailbox, but instead pay attention to and act upon mail delivered to a personal electronic mail box provided by the government. All interaction between companies and the government is now channeled through a one-stop-portal called virk.dk. Citizens can interact with the government and access all their information through a similar portal called borger.dk (citizens.dk. , The need for a digital signature and authentication, The physical mailbox next to the front door is considered to be secure when the postman drops a letter in it. However digital communication have more complex security issues. Access needs to be controlled and the identity of the recipient has to be verified. Strangely enough physical mail can be picked up and read by your partner from the mail box, but electronic mail must only be accessible to you - at least from the point of view of the government agency or the private company sending the mail. To solve this problem a digital identity and authentication is needed., As the CPR holds a complete list of all Danish citizens and people currently living in Denmark the register can be used as the foundation of a digital ID. The digital identity allows citizens and companies to interact electronically with each other and to legally sign documents. , The interesting thing about the digital identity, now in its third major edition, is that the solution behind the “identity” is a public private partnership owned by the government, regions, municipalities and banks. The public private partnership ensures that a common identity is used by both government and companies alike and that the service is competitively procured., The need for self-registration, The overarching question from all our visitors was: How do you make sure that people actually self-register and update their registrations in the Central personal Register? There are a multitude of answers: , First , of all people in general have a very high trust in the system, and , secondly, it is very difficult to live in Denmark if you do not keep you records updated, because our society is so data driven today. The , third, reason for keeping digital records updated is that both citizens and business can be fined if they do not keep their records updated., The Ghanaian delegation is briefed on digitalization at Health Care Demark in Odense, Through the Strategic Sector cooperation, The exchange visits on administrative data was organized under the Strategic Sector Cooperation initiative financed by the Danish Foreign Ministry and Statistics Denmark hosted delegations from Brazil, Morocco and Ghana. The exchange visits involved Digital Hub Denmark and Healthcare Denmark. Both are public private partnerships created to promote Danish experiences in digitalization in general and in healthcare and life science respectively to the rest of the world., Former Mister of Education and Research Morten Østergaard talks at the Digital Hub Denmark on how digitalization can support the green transition, .  , As part of our work on administrative data we have developed a guide addressing some of typical “How to get started” questions. Get in touch with us if you want to learned more on how we see statistics through the lenses of admin data and digitalization., You can visit the two hubs online: , Digital Hub Denmark,   , and , Health Care Denmark, . If you get in touch with them they are more than happy to tell you about Denmark’s digital journey. ,  , [KMH1]

https://www.dst.dk/en/consulting/news-from-international-consulting/2022/23-11-2022-Denmark-is-number-1-in-E-government

Home to work commuting

The commuting from home statistics show the total number of commuters and the distance of the commuting, and they are based on the home address of the commuter. , Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Home to work commuting, Register-Based Labour Force Statistics, Key figures, Employed persons (end November) by time, commuting distance and sex, Unit: , Number, Total, Men, Women, 2024, Total, 3,135,965, 1,643,356, 1,492,609, No commuting, 181,310, 122,645, 58,665, Up to 5 km, 873,910, 403,868, 470,042, 5-10 km, 571,462, 280,091, 291,371, 10-20 km, 585,019, 297,655, 287,364, 20-30 km, 324,823, 170,563, 154,260, 30-40 km, 188,623, 103,724, 84,899, 40-50 km, 116,252, 68,137, 48,115, More than 50 km, 288,691, 191,496, 97,195, Unknown, 5,875, 5,177, 698, In Statbank Denmark, you can find more data on Employed persons (end November) (AFSTB3), Average commuting distance (end November) by socioeconomic status and time, Unit: , km, 2022, 2023, 2024, Employed total, 22.2, 22.5, 22.6, Self-employed, 19.0, 18.6, 18.5, Assisting spouses, 17.8, 16.3, 16.1, Employees, managers, 29.4, 29.5, 29.6, Employees - upper level, 22.5, 22.9, 23.1, Employees - medium level, 28.9, 29.3, 29.5, Employees - basic level, 20.8, 21.0, 21.0, Other employees, 18.8, 19.3, 19.7, Employees, not specified, 20.7, 20.7, 20.9, In Statbank Denmark, you can find more data on Average commuting distance (end November) (AFSTB4), Average commuting distance (end November) by time, socioeconomic status and sex, Unit: , km, Total, Men, Women, 2024, Employed total, 22.6, 26.4, 18.7, Self-employed, 18.5, 19.6, 16.9, Assisting spouses, 16.1, 14.6, 16.5, Employees, managers, 29.6, 31.9, 24.8, Employees - upper level, 23.1, 27.2, 20.1, Employees - medium level, 29.5, 35.9, 22.9, Employees - basic level, 21.0, 24.8, 16.6, Other employees, 19.7, 22.5, 16.0, Employees, not specified, 20.9, 23.2, 17.3, In Statbank Denmark, you can find more data on Average commuting distance (end November) (AFSTB4), Employed persons (end November) by time, commuting distance and sex, Unit: , Number, Total, Men, Women, 2024, Total, 3,135,965, 1,643,356, 1,492,609, No commuting, 181,310, 122,645, 58,665, Up to 5 km, 873,910, 403,868, 470,042, 5-10 km, 571,462, 280,091, 291,371, 10-20 km, 585,019, 297,655, 287,364, 20-30 km, 324,823, 170,563, 154,260, 30-40 km, 188,623, 103,724, 84,899, 40-50 km, 116,252, 68,137, 48,115, More than 50 km, 288,691, 191,496, 97,195, Unknown, 5,875, 5,177, 698, In Statbank Denmark, you can find more data on Employed persons (end November) (AFSTA3), Average commuting distance (end November) by socioeconomic status and time, Unit: , km, 2022, 2023, 2024, Employed total, 22.2, 22.5, 22.6, Self-employed, 19.0, 18.6, 18.5, Assisting spouses, 17.8, 16.3, 16.1, Employees, managers, 29.4, 29.5, 29.6, Employees - upper level, 22.5, 22.9, 23.1, Employees - medium level, 28.9, 29.3, 29.5, Employees - basic level, 20.8, 21.0, 21.0, Other employees, 18.8, 19.3, 19.7, Employees, not specified, 20.7, 20.7, 20.9, In Statbank Denmark, you can find more data on Average commuting distance (end November) (AFSTA4), Average commuting distance (end November) by time, socioeconomic status and sex, Unit: , km, Total, Men, Women, 2024, Employed total, 22.6, 26.4, 18.7, Self-employed, 18.5, 19.6, 16.9, Assisting spouses, 16.1, 14.6, 16.5, Employees, managers, 29.6, 31.9, 24.8, Employees - upper level, 23.1, 27.2, 20.1, Employees - medium level, 29.5, 35.9, 22.9, Employees - basic level, 21.0, 24.8, 16.6, Other employees, 19.7, 22.5, 16.0, Employees, not specified, 20.9, 23.2, 17.3, In Statbank Denmark, you can find more data on Average commuting distance (end November) (AFSTA4), Related content in Home to work commuting, Tables in Statbank , Scheduled releases , Contact, Pernille Stender, Phone: +45 24 92 12 33, Mail: , psd@dst.dk

https://www.dst.dk/en/Statistik/emner/arbejde-og-indkomst/beskaeftigelse-og-arbejdsloeshed/erhvervspendling

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