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    Green economy

    How much does the public sector pay in environmental transfers? And what are the revenues from environmental taxes? The statements from the green national accounts cover the public sector’s environmental expenditures and revenues, companies’ environmental protection expenditures, companies’ production of environmental goods and services, as well as environmental taxes and environmental transfers., Current prices , Prices or price level that applies to goods and services in the current period. The opposite of current prices is fixed prices., Environmental taxes, The figure shows the public revenue from environmental taxes in recent years. The environmental taxes include tax on resource rent, meaning the public revenue from the North Sea. It is calculated in current prices. , In Statbank Denmark, you can find more data on Environmentaly related taxes (MREG21), More about the figure, Last update, 24.6.2025, Next update, 24.6.2026, Source data, The source material for the statistics is the public finances, as they are stored, after national accounts coding, in the database DIOR (Database for Integrated Public Accounts). Using selected expenses and revenue from DIOR, tables are compiled to cover the three main subject areas of these statistics (see 2.1). For a more detailed description of DIOR, see the statistical documentation for , Government Finance Statistics, ., Read more about sources, method and quality in the documentation of statistics on Public Expenditure and Revenue on the Environment, Environmental goods and services, The table shows the total turnover of environmental goods and services, as well as a breakdown into environmental protection, resource management, and types of industries. Environmental goods and services help reduce the negative impact on the climate by for example decreasing the consumption of scarce natural resources or reducing the emission of harmful substances., Turnover of environmental goods and services, Environmental goods and services, total, A Environmental protection, total, B Ressource management, total, Turnover (DKK million), 2024, TOT Industry total, 307,223, 81,857, 225,366, A Agriculture, forestry and fishing, 7,990, 7,038, 952, C Manufacturing, 160,558, 19,262, 141,296, D Electricity, gas, steam and air conditioning supply, 33,453, .., 33,453, E Water supply, sewerage and waste management, 40,180, 34,027, 6,153, F Construction, 37,082, 14,461, 22,621, M Knowledge-based services, 27,960, 7,069, 20,891, In Statbank Denmark, you can find more data on Environmental goods and services (GRON1), More about the figure, Last update, 24.2.2026, Next update, 28.10.2026, Source data, There are two overall sources for the statistics:, A. A survey by questionnaire, where enterprises are asked about turnover in 2013, 2015, 2017, 2019, 2021 and 2023 from EGSS broken down by environmental purposes. About 1.700 units were selected in 2023 as a sample covering a population of about 6.100 business units in the respective types of industry. The selection is by stratified methods., The stratification is by type of industry and by number of employees (10-19, 20-49 and 50+). In the last group the selection is 100 per cent of population. Within manufacturing a pre-selection is carried out according to a list of environmental goods type of goods (CN8). Within advisory service engineer firms are prioritized. In 2013 Enterprises in Nace_rev2 38 and 39 was selected 100 per cent. from 2015 results for this sector is estimated from other statistics, B. Existing data from Statistics Denmark or other agencies, which could be used, either directly or as source for estimation. , Both sources are linked to statistical data on employment, value added and export., The , survey, covers the following types of industry: 13, 14, 16, 17, 18 (from 2015), 20, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31 (from 2021), 33, 41+42+43 (only 2013, 2015 and 2021) , 71, 74, Results covering the units with less than 10 employees has been estimated by industry, using data from units with 10-19 employees., Existing data, is used for the following industries: 01, 02, 35, 37, 38+39 (from 2015), 41+42+42 (2017-2020, 2023), and 72, Other statistical sources, :, Account statistics for agriculture, Forestry statistics, Account statistics, non-agricultural industries, Enterprise statistics, Employment statistics, External trade statistics, National account statistics, Sale and purchase, enterprises, Business register, Construction statistics, Read more about sources, method and quality in the documentation of statistics on Environmental Goods and Services, Environmental transfers, The figure shows the public sector’s disbursement of environmental transfers over a period of years. Environmental transfers are a broad term covering subsidies, ongoing transfers, investment aid, and capital transfers aimed at supporting environmentally beneficial activities. These transfers are provided to households, business, NGOs, and foreign countries as development aid., In Statbank Denmark, you can find more data on Environmental transfers (MMS1), More about the figure, Last update, 24.6.2025, Next update, 24.6.2026, Source data, The source material for the statistics is the public finances, as they are stored, after national accounts coding, in the database DIOR (Database for Integrated Public Accounts). Using selected expenses and revenue from DIOR, tables are compiled to cover the three main subject areas of these statistics (see 2.1). For a more detailed description of DIOR, see the statistical documentation for , Government Finance Statistics, ., Read more about sources, method and quality in the documentation of statistics on Public Expenditure and Revenue on the Environment, Environmental protection, The figure shows the public sector’s expenditures on environmental protection divided into various activities. These activities include pollution abatement, wastewater and waste management, as well as the conservation of biodiversity., In Statbank Denmark, you can find more data on Environmental protection (MREG22), More about the figure, Last update, 16.12.2025, Next update, 24.6.2026, Source data, The source material for the statistics is the public finances, as they are stored, after national accounts coding, in the database DIOR (Database for Integrated Public Accounts). Using selected expenses and revenue from DIOR, tables are compiled to cover the three main subject areas of these statistics (see 2.1). For a more detailed description of DIOR, see the statistical documentation for , Government Finance Statistics, ., Read more about sources, method and quality in the documentation of statistics on Public Expenditure and Revenue on the Environment, 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:, Environmental Goods and Services, The statistics on environmental goods and services shows economy and employment related to market-based business activities within environmental protection and resource saving areas. The statistics contribute to the overall picture of what happens in the environmental field and is a part of the environmental accounts. First results covers 2012., Read more about sources, method and quality in the documentation of statistics on Environmental Goods and Services, Environmental Protection Expenditures, In general the statistics illustrate the total direct environmental protection expenditures in the covered types of industry. Distinction is made between current expenditures and investments. Current expenditures includes as well internal costs in the enterprises as purchase of services on environmental protection. Results can be further displayed on spending according to environmental purposes: Protection of ambient air and climate, Wastewater management, Waste management, Heat/energy saving and management and Other environmental protection activities. , Read more about sources, method and quality in the documentation of statistics on Environmental Protection Expenditures, Public Expenditure and Revenue on the Environment, The statistics Public Expenditure and Revenue on the Environment are part of the green national accounts. The statistics establishes a link between public expenditure and revenue and public environmental protection activities. The statistics are used, inter alia, in relation to political decisions in the environmental field, environmental economic analyses and international comparisons of the various EU countries' environmental efforts. The statics date back to 1995. , Read more about sources, method and quality in the documentation of statistics on Public Expenditure and Revenue on the Environment, Water and Waste Water, The statistics concerning water and waste water estimates the abstraction and use of water as well as discharge of waste water distributed on municipalities., The water account document abstraction of water, use in households and industry groups (as used in the Danish National Accounts) as well as the discharge of waste water via waste water treatment plants to the aquatic environment. The water accounts are based on water and waste water statistics as well as micro-data from the Jupiter database managed by GEUS (Geological Survey of Denmark and Greenland) and reports on point sources from the Danish Environmental Protection Agency., The economic water account document the income in water supply and waste water treatment plants from households and industry groups. The account is based price information from water supply and waste water companies that are member of DANVA, information on individual companies, population, households as well as the physical water account., Read more about sources, method and quality in the documentation of statistics on Water and Waste Water, Need more data on Green economy?, In Statbank Denmark, you can find more detailed figures, for example on the individual types of taxes and the amount of environmental protection expenditures incurred by the industry.   , Go to the StatBank, Contact, Jonas Foged Svendsen, Phone: +45 21 34 73 19, Mail: , jfs@dst.dk

    https://www.dst.dk/en/Statistik/emner/miljoe-og-energi/groent-nationalregnskab/groen-oekonomi

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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

    Subject page

    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

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