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    Research and development

    How much funding from the business sector and the public sector goes into research and development (R&D)? And what share of Denmark’s total GDP does this correspond to? Research and development are important drivers of societal development as well as of companies’ growth opportunities and competitiveness. The R&D-statistics measures the scope and content of R&D activities in the business enterprise sector and the public sector., Research and development (R&D) , Work performed on a systematic basis to enhance the existing knowledge as well as the utilisation of this knowledge for devising new areas of application., Expenditure on in-house R&D , The enterprise's expenditure on its own research and development activities including wages for both internal and external staff as well as expenditure on equipment, buildings and other operating costs., R&D full-time equivalents , Personnel who have carried out research and development for the enterprise converted into full-time equivalents. Personnel include both technical staff and researchers including external employees., Current prices , Prices or price level that applies to goods and services in the current period. The opposite of current prices is fixed prices., Developments in Research and Development expenditure, The chart shows how expenditure on own research and development (R&D) in the business enterprise sector and the public sector has developed over the past ten years. Expenditure is stated as percentage of GDP. The latest year is preliminary., In Statbank Denmark, you can find more data on Research and Development costs in per cent of GDP (CFABNP), More about the figure, Last update, 12.12.2025, Next update, 14.12.2026, Source data, The statistics are an annual, sample-based questionnaire survey based on information collected from approx. 3,500 companies from most size classes and all NACE-industries in the Danish enterprise sector. For 2024, information is collected from 3,416 companies, sampled as a sample from a framework population of approx. 22,000 companies., The data collection for R&D and innovation in business is carried out as one complete data collection in one questionnaire. For equal reference years, overall data on R&D expenditure and staff as well as the purchase of R&D services are collected. For the odd reference years, a full R&D survey is collected with detailed information on, for example, sources of funding., The companies for the sample are selected depending on the number of employees and industry. The committee probability is 100 per cent. among the largest companies (companies with 100+ employees or turnover greater than DKK 1 billion), and the committee probability is decreasing as the number of employees decreases. To ensure the overall quality of the statistics, R&D-intensive industries have higher coverage than smaller R & D-intensive industries. The companies in the sample are randomly selected., Based on a gross population retrieved from the Business Statistics Register, ESR, a survey population (framework population) is formed, from which companies in specific industries or with very few employees (depending on industry) are sorted. The survey population is the population that is later counted up to and thus the population that the survey describes. In 2024, the survey population consists of approx. 22,000 companies., Read more about sources, method and quality in the documentation of statistics on Business Enterprise Research and Development (BERD), Business enterprise expenditure on research and development, The chart shows the business enterprise sector’s expenditure on own research and development by investment and operating costs for the past three years. The latest year is preliminary., In Statbank Denmark, you can find more data on Enterprises expenses for own R&D (FORSK01), More about the figure, Last update, 12.12.2025, Next update, 14.12.2026, Source data, The statistics are an annual, sample-based questionnaire survey based on information collected from approx. 3,500 companies from most size classes and all NACE-industries in the Danish enterprise sector. For 2024, information is collected from 3,416 companies, sampled as a sample from a framework population of approx. 22,000 companies., The data collection for R&D and innovation in business is carried out as one complete data collection in one questionnaire. For equal reference years, overall data on R&D expenditure and staff as well as the purchase of R&D services are collected. For the odd reference years, a full R&D survey is collected with detailed information on, for example, sources of funding., The companies for the sample are selected depending on the number of employees and industry. The committee probability is 100 per cent. among the largest companies (companies with 100+ employees or turnover greater than DKK 1 billion), and the committee probability is decreasing as the number of employees decreases. To ensure the overall quality of the statistics, R&D-intensive industries have higher coverage than smaller R & D-intensive industries. The companies in the sample are randomly selected., Based on a gross population retrieved from the Business Statistics Register, ESR, a survey population (framework population) is formed, from which companies in specific industries or with very few employees (depending on industry) are sorted. The survey population is the population that is later counted up to and thus the population that the survey describes. In 2024, the survey population consists of approx. 22,000 companies., Read more about sources, method and quality in the documentation of statistics on Business Enterprise Research and Development (BERD), Public sector expenditure on research and development, The table shows public sector expenditure on own research and development by type of expenditure for the past three years. The public sector consists of three subsectors: Higher education institutions, Other public research institutions and Private non-profit institutions. The latest year is preliminary., In Statbank Denmark, you can find more data on R&D-expenses in public sector (FOUOFF07), More about the figure, Last update, 12.12.2025, Next update, 14.12.2026, Source data, The statistics are questionnaire-based and are collected from approximately 650 public and private non-profit units, which together are assumed to carry out all significant R&D in the public sector. Data are collected using two separate questionnaires: one for university hospitals and one for other reporting units (primarily universities)., Read more about sources, method and quality in the documentation of statistics on Research and development in the public sector, R&D full time equivalents in the public sector, The chart shows the number of full time equivalents in research and development in the public sector, separated by subsector and staff category. The figures are preliminary., In Statbank Denmark, you can find more data on R&D man-year in public sector (FOUOFF02), More about the figure, Last update, 12.12.2025, Next update, 14.12.2026, Source data, The statistics are questionnaire-based and are collected from approximately 650 public and private non-profit units, which together are assumed to carry out all significant R&D in the public sector. Data are collected using two separate questionnaires: one for university hospitals and one for other reporting units (primarily universities)., Read more about sources, method and quality in the documentation of statistics on Research and development in the public sector, On the statistics – documentation, sources and method, Gain an overview of the purpose, contents and quality of the statistics. Learn about the data sources of the statistics, the contents of the statistics and how often they are published., See the documentation of statistics to learn more:, Business Enterprise Research and Development (BERD), The purpose of the R&D statistics of the enterprise sector is to analyse the scope of research and experimental development undertaken within the sector. This is carried out by estimating the resources used in the area, measured in R&D-expenditure and R&D-personnel broken down on industry, size class and the regional level. The survey is conducted in accordance with OECDs guidelines for R&D statistics as described in the Frascati Manual. The Danish data are comparable with the data of other OECD- and EU-countries. , Read more about sources, method and quality in the documentation of statistics on Business Enterprise Research and Development (BERD), Government budget allocations for research and development, The statistic give information on the general government budget for research and development from 2001 onwards. The Ministry of Finance is in charge of the bigger part of the data collection., Read more about sources, method and quality in the documentation of statistics on Government budget allocations for research and development, Innovation in the private sector, The purpose of the innovation survey is to examine the scope, the nature and the effect of innovation in the business sector including the innovation activities. Data will be collected enabling comparisons over time. The survey is conducted in accordance with the EU and OECD guidelines for innovation statistics described in the Oslo Manual. Danish data are thereby comparable with data from other EU countries. From the reference year 2007 statistics are compiled on a yearly basis, but only directly comparable from 2020 forward., Read more about sources, method and quality in the documentation of statistics on Innovation in the private sector, Research and development in the public sector, The purpose of the statistics on Research and Development in the public sector is to illustrate the extent of R&D activities carried out within the public sector. The statistics are used, among other things, to assess the share of GDP devoted to research and development. The survey is conducted according to the OECD guidelines for research and development (R&D) statistics, as set out in the Frascati Manual. The statistics have been produced since 1997, but are comparable in their current form from 2007 onwards., Read more about sources, method and quality in the documentation of statistics on Research and development in the public sector, Need more data on Research and development?, Go on searching on your own in Statbank Denmark. Find more detailed figures, e.g. on R&D activities in the business enterprise sector by industry and region. You can also find information on R&D activities in the public sector within selected fields of science and socio-economic objective, as well as R&D budgets. , Go to the StatBank, Contact, Julius Gotthardt Møller, Phone: +45 23 74 66 48, Mail: , jgm@dst.dk

    https://www.dst.dk/en/Statistik/emner/uddannelse-og-forskning/forskning-udvikling-og-innovation/forskning-og-udvikling

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    Camping sites

    Danes and foreigners combined have millions of overnight stays on camping sites in Denmark every year. , Introduction, The statistics on camping sites are published monthly and annually. The monthly statistics are calculated from reporting from camping sites with at least 75 units while the annual statistics also covers camping sites with as little as 10 units., A camping unit corresponds to a capacity of 3 people. In Denmark there are about 407 camping sites with at least 75 units. Three out of four camping sites are located west of Storebælt., 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 on camp sites, Key figures, In Statbank Denmark, you can find more data on Nights spend on camping sites (CAMP1), Nights spend on camping sites by region, unit, nationality of the guest, period and time, Unit: , Number, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026, All Denmark, Nights stay, Total, February, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 66,865, 82,756, 73,989, 73,969, 75,333, 77,130, 78,798, 103,401, 96,311, 107,483, 116,942, 0, March, 146,827, 137,879, 162,112, 144,052, 119,926, 211,023, 152,260, 157,855, 164,556, 163,392, 327,637, 179,984, 192,820, 387,682, 193,117, 251,278, 554,904, 234,850, 313,982, 216,380, 281,732, 330,101, 254,649, 165,863, 287,248, 159,644, 211,884, 135,469, 105,402, 195,792, 176,193, 170,800, 318,318, 165,411, 0, April, 518,698, 591,407, 573,070, 606,489, 557,462, 472,598, 573,875, 603,196, 718,173, 665,270, 653,136, 829,512, 802,521, 687,710, 802,628, 936,828, 787,083, 923,175, 834,799, 995,004, 854,108, 723,524, 861,584, 827,378, 728,060, 851,907, 744,771, 875,334, 482,096, 786,165, 997,982, 951,279, 723,737, 882,207, 0, May, 1,086,341, 1,282,526, 1,225,098, 1,031,910, 1,102,436, 1,103,875, 1,093,417, 1,180,579, 879,451, 1,043,533, 1,166,982, 1,063,390, 1,329,987, 1,265,217, 1,109,268, 1,356,443, 1,456,303, 1,411,401, 1,364,936, 1,075,330, 1,369,493, 1,257,532, 1,156,946, 1,292,073, 1,253,675, 1,180,038, 1,318,237, 1,109,087, 940,971, 1,157,047, 1,325,118, 1,441,731, 1,400,941, 1,218,327, 0, June, 1,978,297, 1,662,693, 1,518,210, 1,723,856, 1,543,192, 1,517,741, 1,542,028, 1,354,877, 1,662,676, 1,488,925, 1,364,208, 1,690,544, 1,335,758, 1,314,895, 1,479,423, 1,386,496, 1,549,777, 1,500,365, 1,422,397, 1,785,401, 1,325,728, 1,339,440, 1,539,571, 1,388,691, 1,408,264, 1,495,820, 1,440,825, 1,570,749, 1,216,036, 1,408,681, 1,737,776, 1,673,206, 1,599,726, 1,629,015, 0, July, 5,919,197, 5,081,390, 5,017,072, 5,458,360, 5,130,367, 5,251,927, 4,415,101, 4,557,559, 4,182,853, 4,443,645, 4,492,600, 4,723,961, 4,404,502, 4,111,906, 4,349,572, 3,945,056, 4,212,946, 4,090,965, 4,153,835, 3,959,888, 3,636,309, 3,885,369, 3,953,087, 3,724,233, 3,637,703, 3,498,182, 3,869,354, 3,877,944, 4,255,589, 4,194,455, 4,120,130, 3,737,466, 3,613,101, 3,617,718, 0, Denmark, February, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 57,596, 73,205, 66,056, 66,676, 67,366, 68,938, 75,858, 90,530, 84,036, 91,916, 99,566, 0, March, 134,052, 124,121, 137,942, 125,256, 96,997, 158,859, 132,225, 133,504, 148,579, 145,869, 279,117, 159,139, 168,641, 328,374, 166,474, 204,739, 468,422, 194,857, 273,669, 188,475, 243,453, 274,501, 210,598, 139,143, 233,302, 137,166, 177,666, 117,606, 93,646, 191,243, 144,084, 140,976, 231,270, 128,990, 0, April, 419,161, 476,249, 455,985, 477,047, 430,727, 366,371, 441,972, 475,118, 565,065, 536,506, 534,598, 677,776, 665,934, 595,366, 678,090, 793,661, 693,544, 789,058, 722,293, 847,996, 729,127, 629,145, 722,304, 694,863, 623,715, 703,420, 629,437, 708,173, 477,085, 775,110, 790,162, 721,525, 566,807, 650,477, 0, May, 869,230, 1,000,159, 903,032, 786,050, 824,607, 817,700, 831,347, 893,877, 694,953, 825,896, 913,495, 852,745, 1,063,617, 1,019,452, 908,297, 1,117,142, 1,204,000, 1,166,138, 1,135,315, 903,589, 1,141,556, 1,042,284, 949,489, 1,051,408, 1,013,329, 957,977, 1,029,386, 873,069, 929,747, 1,106,980, 1,012,079, 1,046,736, 959,030, 841,924, 0, June, 1,367,919, 1,163,436, 1,098,189, 1,206,780, 1,073,505, 1,079,208, 1,115,368, 988,106, 1,206,815, 1,108,369, 1,015,875, 1,283,675, 1,019,314, 1,017,292, 1,150,863, 1,043,537, 1,219,005, 1,187,432, 1,119,802, 1,405,463, 1,031,962, 1,035,383, 1,193,424, 1,070,277, 1,065,644, 1,123,681, 1,055,179, 1,112,191, 1,042,075, 1,182,286, 1,211,334, 1,109,018, 1,046,277, 1,019,286, 0, July, 3,521,136, 3,221,529, 3,366,096, 3,462,764, 3,257,063, 3,454,101, 3,028,817, 3,190,992, 2,910,053, 3,099,435, 3,172,507, 3,364,145, 3,179,207, 2,918,054, 3,181,622, 2,917,015, 3,179,497, 3,117,612, 3,093,271, 3,010,280, 2,774,623, 2,923,992, 3,029,708, 2,825,069, 2,717,641, 2,598,832, 2,738,339, 2,689,397, 3,425,479, 3,435,649, 2,822,461, 2,507,894, 2,408,505, 2,323,391, 0, Sweden, February, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 819, 448, 507, 720, 492, 354, 129, 1,095, 944, 667, 473, 0, March, 896, 798, 986, 1,118, 3,494, 3,877, 1,723, 3,171, 1,790, 3,108, 2,220, 1,971, 1,796, 4,015, 4,140, 4,880, 4,382, 4,733, 2,551, 931, 2,141, 3,721, 1,748, 1,772, 3,163, 1,437, 1,849, 748, 509, 261, 1,296, 1,186, 2,198, 893, 0, April, 4,388, 1,984, 1,999, 2,062, 3,253, 3,565, 3,094, 3,027, 4,122, 4,153, 2,919, 3,708, 5,926, 3,129, 5,852, 7,464, 3,847, 3,950, 3,868, 4,999, 5,033, 3,963, 4,525, 6,452, 4,319, 7,640, 5,406, 6,406, 204, 448, 6,292, 5,853, 2,564, 6,049, 0, May, 15,778, 12,754, 11,690, 12,535, 11,956, 13,032, 12,818, 12,553, 12,892, 14,151, 12,321, 11,449, 14,971, 9,422, 10,642, 12,654, 11,972, 9,151, 9,451, 8,700, 10,037, 10,608, 13,486, 12,632, 12,621, 15,383, 15,684, 13,177, 428, 685, 11,485, 11,372, 9,164, 11,048, 0, June, 105,833, 59,080, 49,570, 47,674, 48,787, 59,777, 43,131, 39,629, 48,228, 43,053, 41,975, 39,543, 31,306, 29,765, 27,773, 27,667, 28,571, 20,991, 22,285, 27,884, 26,475, 31,183, 31,792, 33,557, 31,066, 31,929, 33,184, 31,025, 1,793, 3,094, 28,468, 27,520, 22,281, 24,871, 0, July, 483,577, 245,104, 271,660, 212,164, 230,741, 253,195, 209,124, 224,552, 238,585, 198,151, 185,795, 177,106, 154,336, 134,284, 137,273, 111,388, 109,998, 70,445, 87,145, 87,521, 84,834, 96,409, 103,726, 96,542, 95,885, 94,171, 95,079, 81,333, 10,535, 17,977, 87,876, 63,213, 61,067, 75,463, 0, Germany, February, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5,612, 5,403, 5,687, 4,905, 5,039, 5,207, 1,271, 7,007, 7,465, 11,873, 13,234, 0, March, 10,681, 12,232, 22,022, 16,433, 18,618, 46,263, 15,810, 17,967, 12,334, 11,953, 41,551, 15,959, 19,985, 47,536, 15,405, 29,392, 62,541, 22,947, 27,854, 18,483, 26,403, 37,823, 29,809, 17,060, 34,827, 14,522, 22,275, 11,953, 8,275, 1,808, 22,561, 23,597, 71,573, 30,221, 0, April, 88,567, 106,069, 107,157, 120,090, 116,484, 96,422, 121,894, 115,808, 139,675, 114,263, 105,989, 132,310, 113,542, 79,832, 100,478, 114,831, 73,260, 108,880, 91,232, 120,539, 98,788, 71,794, 106,165, 101,375, 76,718, 107,000, 87,265, 121,237, 2,576, 6,378, 162,935, 188,220, 126,707, 184,147, 0, May, 170,618, 240,077, 267,803, 201,114, 234,753, 243,358, 226,728, 239,753, 147,674, 174,078, 208,767, 170,277, 211,730, 200,659, 150,607, 185,761, 194,496, 195,365, 173,680, 119,920, 174,325, 161,996, 148,667, 180,564, 176,750, 158,430, 207,590, 168,704, 6,962, 43,708, 236,854, 311,197, 348,099, 296,405, 0, June, 375,703, 338,204, 278,159, 367,986, 315,704, 276,873, 294,787, 245,602, 325,079, 256,523, 223,687, 268,638, 199,709, 187,214, 215,147, 215,786, 206,636, 202,460, 182,038, 249,982, 181,902, 181,611, 214,545, 181,368, 201,140, 229,000, 221,856, 293,860, 152,261, 201,711, 358,660, 374,378, 377,920, 435,314, 0, July, 1,177,317, 1,124,013, 904,013, 1,214,651, 1,079,446, 951,106, 725,732, 702,651, 615,273, 707,208, 703,094, 680,026, 637,184, 658,734, 610,191, 493,594, 512,520, 536,205, 560,331, 503,254, 443,575, 494,363, 403,275, 394,012, 440,683, 420,507, 592,322, 646,618, 675,497, 602,908, 722,679, 732,228, 724,722, 739,589, 0, In Statbank Denmark, you can find more data on Nights spend on camping sites (CAMP1), Related content in Camping sites, Tables in Statbank , Scheduled releases , Contact, Karina Moric Ingemann, Phone: +45 24 78 42 12, Mail: , kam@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/campingpladser

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    Taxes and duties

    How high is the tax-to-GDP ratio in Denmark? What is the current level of corporate income taxes? The development in taxes and duties has a large impact on the economy of the government sector, since the revenue from taxation is the most important source of finance for public expenditure. Here is a complete overview of the revenue from taxes and duties., Development in total taxes and duties, Get an overview of how the revenue from taxes and duties has developed in recent years. The revenue is divided into main types of taxes., Total taxes and duties, Unit: , DKK 1,000, 2021, 2022, 2023, 2024, 2025, Taxes and duties, total, 1,224,919,917, 1,202,588,176, 1,236,949,990, 1,333,653,689, 1,375,762,645, 1. Income taxes, total, 809,181,351, 776,127,146, 822,557,976, 909,940,857, 936,744,772, 2. Social contributions, total, 2,493,343, 2,340,162, 2,107,436, 2,052,654, 1,985,990, 3. Other labour market contributions, total, 6,655,822, 7,149,915, 7,309,028, 7,755,203, 8,012,372, 4. Taxes on wealth, real property, etc., total, 51,586,600, 51,789,801, 52,904,652, 45,902,381, 47,199,277, 5. Taxes on goods and services, total, 352,337,766, 361,519,120, 343,305,663, 358,923,404, 372,980,779, 6. Other production taxes, total, 2,665,035, 3,662,031, 8,765,234, 9,079,189, 8,839,455, In Statbank Denmark, you can find more data on Taxation total, divided into rates and dues (SKAT), More about the figure, Last update, 25.3.2026, Next update, 3.6.2026, Source data, Final accounts of central government, municipalities, counties and social security funds. Accounts data for public quasi institutions are still not available in March, why unit data for year t-2 the data are used., Read more about sources, method and quality in the documentation of statistics on Government Finance Statistics, Development in Tax-to-GDP ratio, Get an overview of how the tax-to-GDP ratio has developed in recent years. The ratio is defined as total taxes and duties as a percentage of gross domestic product (GDP)., In Statbank Denmark, you can find more data on Tax level (SKTRYK), More about the figure, Last update, 31.3.2026, Next update, 30.6.2026, Source data, Final accounts of central government, municipalities, counties and social security funds. Accounts data for public quasi institutions are still not available in March, why unit data for year t-2 the data are used., Read more about sources, method and quality in the documentation of statistics on Government Finance Statistics, The distribution of average final tax, Get an overview of how the average final tax per taxable person is distributed on municipalities. The final tax is equal to the sum of income taxes, share taxes, and imputed income taxes from owner-occupied dwellings., Get your own statistics in the Statbank about End tax (PSKAT4), More about the figure, Last update, 13.11.2025, Next update, 12.11.2026, Source data, Data are compiled from the Register of Personal Income Taxation (called System 28 or SKATTELE), which registers all personal incomes, income deductions and income taxes in the income year. The register is a part of the Danish Tax Agency. The system comprises tax assessment notices with breakdowns on all tax concepts as well as income and deductions concepts. The system is updated on a continuing basis as more people are assessed and any changes to already finalized assessment notices are incorporated in the system. , Statistics Denmark collects provisional data for 2023 and 2024 in October 2025. For 2022, the data is collected in November 2024; while data for 2017 - 2021 are based upon data collected in November in year two after the income year have ended. From year 2017, the data is grossed up based on the number of similar persons compared to the total number of personals liable to taxation. , Read more about sources, method and quality in the documentation of statistics on Personal income taxes, The development in land tax, Get an overview of how the land tax for owner-occupied houses and other properties has developed in recent years. Land tax is a duty, which is levied on the taxable land value of the property., In Statbank Denmark, you can find more data on Land tax (EJDSK3), More about the figure, Last update, 2.12.2025, Next update, 26.11.2026, Source data, Data is retrieved once a year from the Data Exchange Platform (DUPLA). The property tax section in DUPLA consists of property valuations and the corresponding tax for each individual property. DUPLA is continuously updated with corrections to previously processed tax cases, etc., Read more about sources, method and quality in the documentation of statistics on Real property taxes, Development in corporation tax, Get an overview of how the corporation tax has developed in recent years. The corporation tax is an income tax on companies’ profit., In Statbank Denmark, you can find more data on Taxpaying corporations, etc. (SELSK2), More about the figure, Last update, 5.3.2026, Next update, 5.3.2027, Source data, Data are compiled from the register of Digital Corporate Tax Reporting (DIAS) of The Danish Tax Agency. DIAS consists of four sub-elements (a tax declaration part, an assessed part, a joint taxation part, and a deficit part) and registers all corporations and their tax base. DIAS updates the data on a continuing basis with the recording of new companies, dissolved companies, and changes to already finalised assessments. Some tax cases are not concluded until several years after the end of the income year. The Danish tax authorities will thus continually receive corrections to data., A yearly delivery from the statistical Business Register is used for the division of income and assessed taxes based on industry and type/owner code., Read more about sources, method and quality in the documentation of statistics on Corporate Taxation, On the statistics – documentation, sources and method, Gain an overview of the purpose, contents and quality of the statistics. Learn about the data sources of the statistics, the contents of the statistics and how often they are published., See the documentation of statistics to learn more:, Corporate Taxation, The purpose of the statistics Corporate taxation is to shed light on trends in companies' taxable income and tax payments. The statistics cover the period from from 1996 and is published yearly in March. The statistics were first published in 1922 and the method used for calculating the corporate tax has not changed since the first publication. , Read more about sources, method and quality in the documentation of statistics on Corporate Taxation, Government Finance Statistics, The purpose of the statistics General government finances is to give a overview over expenditure and revenue in the general government sector. The statistics is used to analyze the public economy. Data are available and comparable from 1971 and onward., General government statistics have undergone a benchmark revision since the last publication. In this benchmark revision, the statistics for public finances have been revised back to 1971. The benchmark revision is a pan-European project that is carried out every 5 years. The purpose of the revision is to incorporate new knowledge and new methods and to ensure uniform calculation methods for all countries., This main revision of the public finance statistics has had no notable effect on public consumption, while the net lending/borrowing for general government has improved to a lesser extent. , Read more about sources, method and quality in the documentation of statistics on Government Finance Statistics, Local Government Personal Income Taxation and Church Tax, The purpose of Local government personal income taxation and church tax is show the development of these taxes as well as land tax. The tax rates are decided by the local governments by the 15th of October the year before the relevant income year. The Statistics was first time published in 1927, but in its current form the statistics covers and is comparable from 2007., Read more about sources, method and quality in the documentation of statistics on Local Government Personal Income Taxation and Church Tax, Personal income taxes, The purpose of the statistics Personal income taxation is to give information about tax bases, tax calculations and the various tax concepts, and also give a description of provisional and final tax. The statistics cover income taxes from 1994 and is published yearly in November. The statistics were first published in 1903, but in its current form the statistics cover every year from 1994 onwards., Read more about sources, method and quality in the documentation of statistics on Personal income taxes, Real property taxes, The purpose of the statistics Property Taxation is to show the development in property taxes and their allocation to municipalities. The detailed property tax statistics has existed since 1937. Before 1937, property tax statistics was also published statistics on property taxation, albeit at a more aggregated basis. The current form of the statistics is comparable from 2007 and onwards., Read more about sources, method and quality in the documentation of statistics on Real property taxes, Need more data on Taxes and duties?, You can search further in StatBank Denmark where you can find detailed accounts for e.g. total taxes and duties, personal income taxes, real property taxes, and corporate taxes. , Go to the StatBank, Contact, Ida Balle Rohde, Phone: +45 61 24 24 85, Mail: , ilr@dst.dk

    https://www.dst.dk/en/Statistik/emner/oekonomi/offentlig-oekonomi/skatter-og-afgifter

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