DOCSLIB.ORG

FINLAND in FIGURES 2017 ISSN 2242−8496 (Pdf) ISBN 978−952−244−577−3 (Pdf) ISSN 0357−0371 (Print) ISBN 978−952−244−576−6 (Print) Product Number 3056 (Print)

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
FINLAND in FIGURES 2017 ISSN 2242−8496 (Pdf) ISBN 978−952−244−577−3 (Pdf) ISSN 0357−0371 (Print) ISBN 978−952−244−576−6 (Print) Product Number 3056 (Print) “ FOLLOW US – NEWS NOTIFICATIONS, SOCIAL MEDIA” STATISTICS FINLAND − Produces statistics on a variety of areas in society − Promotes the use of statistical data − Supports decision-making based on facts − Creates preconditions for research GUIDANCE AND INFORMATION SERVICE +358 29 551 2220 [email protected] www.stat.fi FINLAND IN FIGURES 2017 ISSN 2242−8496 (pdf) ISBN 978−952−244−577−3 (pdf) ISSN 0357−0371 (print) ISBN 978−952−244−576−6 (print) Product number 3056 (print) Taskut_2017_pdf.indd 3 2.6.2017 13:05:43 Contents and Sources Finland Before and Now . 2 Sources: Statistics Finland; stat.fi, Population Register Centre; vrk.fi, Natural Resources Institute Finland; luke.fi, Finnish Coffee Roasters Association; kahvi.fi Agriculture, Forestry and Fishery . 4 Sources: Natural Resources Institute Finland; luke.fi, Finnish Food Safety Authority Evira; evira.fi Construction . 6 Source: Statistics Finland; stat.fi Culture and the Media . 7 Sources: Ministry of Education and Culture; minedu.fi, The National Library of Finland; nationallibrary.fi, MediaAuditFinland Oy; mediaauditfinland.fi, Finnish Film Foundation; ses.fi, National Board of Antiquities; nba.fi, Theatre Info Finland; tinfo.fi Education . 8 Source: Statistics Finland; stat.fi Elections . 9 Source: Statistics Finland; stat.fi Energy . 11 Sources: Statistics Finland; stat.fi, Finnish Energy; energia.fi Enterprises . 12 Source: Statistics Finland; stat.fi Environment and Natural Resources . 13 Sources: Statistics Finland; stat.fi, National Land Survey of Finland; maanmittauslaitos.fi, Finnish Environment Institute; ymparisto.fi, Finnish Meteorological Institute; fmi.fi, Ministry of the Environment; ym.fi, Metsähallitus; metsa.fi Financing and Insurance . 15 Sources: Statistics Finland; stat.fi, Bank of Finland; bof.fi, NASDAQ OMX Helsinki Ltd.; nasdaqomxnordic.com Government Finance . 17 Sources: Statistics Finland; stat.fi, Ministry of Finance; vm.fi, Ministry of Foreign Affairs; formin.fi Health . 19 Sources: Statistics Finland; stat.fi, The National Institute for Health and Welfare; thl.fi Housing . 20 Source: Statistics Finland; stat.fi Income and Consumption . 22 Sources: Statistics Finland; stat.fi, Natural Resources Institute Finland; luke.fi, The National Institute for Health and Welfare; thl.fi Justice . 24 Source: Statistics Finland; stat.fi Contents and Sources Labour Market . 25 Source: Statistics Finland; stat.fi Manufacturing . 27 Source: Statistics Finland; stat.fi National Accounts . 28 Source: Statistics Finland; stat.fi Population . 31 Sources: Statistics Finland; stat.fi, National Land Survey of Finland; maanmittauslaitos.fi, Finnish Immigration Service; migri.fi, Ministry of Employment and the Economy; tem.fi Prices and Costs . 39 Source: Statistics Finland; stat.fi Science, Technology and Information Society . 41 Source: Statistics Finland; stat.fi Social Protection . 42 Sources: The National Institute for Health and Welfare; thl.fi, Finnish Centre for Pensions; etk.fi Trade . 43 Sources: Statistics Finland; stat.fi, Finnish Customs; tulli.fi Transport and Tourism . 45 Sources: Statistics Finland; stat.fi, Helsinki Region Transport; hsl.fi, VR Group Ltd; vrgroup.fi, Finnish Transport Agency; liikennevirasto.fi, Finavia Corporation; finavia.fi, Finnish Transport Safety Agency Trafi; trafi.fi Wages, Salaries and Labour Costs . 48 Source: Statistics Finland; stat.fi International Comparison Data . 50 Sources: UN: Demographic Yearbook, UN: Population and Vital Statistics Report; unstats.un.org, Eurostat; ec.europa.eu/eurostat, CIA: The World Factbook; cia.gov, World Bank: World Development Indicators; worldbank.org, ILO: ILOSTATDatabase; ilo.org, OECD: Economic Outlook; oecd.org, IMF: World Economic Outlook; imf.org Symbols * preliminary data . data not available or too . category not applicable uncertain for presentation, - magnitude nil or subject to secrecy A break in the time series is indicated with a horizontal or vertical line. The data are not fully comparable. Finland in Figures as online service: stat.fi/finlandinfigures FINLAND IN FIGURES BEFORE | NOW MOST POPULAR FIRST NAME 1910–1919 | 2016 POPULATION 1917 | 2016 LIFE EXPECTANCY ANNA EINO years 1911–1920 | 2016* SOFIA ONNI MEN 43.4 | 78.4 MARRIAGES DIVORCES 1917 | 2016 1917 | 2016 WOMEN 49.1 | 84.1 3 134 300 | 5 503 297 *preliminary data 20 004 | 24 464 368 | 13 541 SIZE OF HOUSEHOLD- EXTREMELY OVER- NUMBER OF CONSUMPTION DWELLING UNITS CROWDED DWELLINGS ROOMS per person, kg 1917 | 2015 persons/household- share of dwellings, % per dwelling, incl. kitchen dwelling unit 3.7 COFFEE 1.7 9.9 2.4 | 5.3 2.0 31.0 0.5 SUGAR 1917 2015 1920 2015 1917 2015 7.1 | 29.3 INDUSTRIAL STRUCTURE MATRICULATION AUTOMOBILE STOCK share of persons working, % EXAMINATIONS number 1922 | 2016 1920 | 2016 1917 | 2015 70.1 | 4.1 Agriculture and forestry WE ALL 11.5 | 21.8 Industry ARE 10.9 73.7 | Services and 1 128 | 30 617 1 754 | 3 957 153 administration STATISTICS Sources: Statistics Finland, Population Register Centre, Natural Resources Institute Finland, Finnish Coffee Roasters Association 4 Agriculture, Forestry and Fishery Farms Farms 1) Average Organic farms Average arable arable land area of an land area 1) % of organic farm ha all farms ha 2010 59 483 39 3 939 6.1 43.4 2011 58 283 40 4 036 6.6 45.8 2012 55 816 41 4 260 7.2 46.4 2013 54 398 42 4 215 7.4 48.9 2014 52 775 43 4 180 7.9 50.9 2015 50 999 45 4 251 8.3 52.8 2016 50 388 45 4 415 8.8 54.5 1) Agricultural and horticultural enterprises Production sectors of farms Crop production Milk production Beef production 1) Pig and poultry farming 2016 Other production 2011 0% 10% 20% 30% 40% 50% 60% 70% 1) Incl. other cattle farming Livestock 1920 1950 2000 2010 2015 2016 1 000 Cattle 1 824 1 782 1 057 926 915 909 Dairy cows 1 174 1 111 364 289 l 285 282 Pigs 374 446 1 296 1 367 1 235 1 235 Poultry . 12 570 9 587 12 021 13 411 Laying hens 888 3 381 l 3 110 3 394 3 521 3 662 Broilers . 7 918 4 616 6 993 8 175 Sheep 1 704 1 220 100 126 l 155 157 Horses 391 409 58 74 74 74 Reindeer . 87 203 194 191 191 Agriculture, Forestry and Fishery 5 Forest statistics Forestry land (incl. protected areas) in 2009–2013 totalled 26.2 mil. ha, of which 53% was owned privately, 35% by the state, 7% by companies and 5% by others. The volume of growing stock was 2 356 mil. m3, of which 50% was pine, 30% spruce and 20% non-coniferous. Increment and drain of the growing stock Mil. m3 120 100 Increment (smoothed) 80 60 40 Drain 20 0 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010 -15 Industrial roundwood removals Mil. m3 75 Total 60 45 Pulpwood 30 15 Logs 0 2000 2002 2004 2006 2008 2010 2012 2014 2016* m3 = cubic metre, solid volume over bark Catches of fish and production of fish farming 2010 2011 2012 2013 2014 2015 Mil. kg Commercial fishery 126.6 124.2 137.7 143.2 154.3 154.2 Recreational fishery 29.2 1) 29.2 24.5 2) 24.5 28.6 3) 28.6 Food fish production 4) 11.8 11.3 12.7 13.6 13.5 14.9 Total 167.6 164.7 174.9 181.3 196.3 197.6 1) 2010 – 2) 2012 – 3) 2013 – 4) Ungutted fish 6 Construction Construction Unit 2014 2015 2016 Completed buildings All buildings mil. m3 33.62 30.89 31.24 Residential mil. m3 11.63 10.70 10.61 Commercial and office buildings mil. m3 4.79 5.10 5.66 Industrial buildings and warehouses mil. m3 6.89 6.67 7.45 Other mil. m3 10.30 8.41 7.51 Completed dwellings All dwellings number 29 262 28 410 30 234 Detached houses number 8 347 7 666 7 109 Attached houses number 3 515 3 432 3 629 Blocks of flats number 17 125 17 101 18 892 Other than residential buildings number 275 211 604 Volume index of newbuilding 1) 2010 = 100 140 120 100 80 60 Other than residential buildings All buildings Residential buildings 40 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014 2016 1) Incl. building measures new buildings, building expansions and alterations comparable to rebuilding Turnover of construction 2010 = 100, year-on-year change 45 % 30 15 0 Construction of buildings -15 Construction Civil engineering -30 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014 2016* Culture and the Media 7 Public libraries Unit 1970 1980 1) 1990 1) 2000 1) 2010 1) 2016 1) Libraries number 2 903 1 608 1 151 936 843 743 Collections 1 000 . 37 179 40 897 39 655 35 589 Loans 1 000 32 429 72 513 85 714 102 197 96 228 87 369 Borrowers 1 000 1 225 1 842 2 199 2 431 2 089 1 981 Library visits 1 000 . 49 264 63 978 52 647 49 024 1) Excl. Åland Books published in Finland 1970 1) 1980 1990 2000 2010 2015 Total of books published 3 351 6 511 10 153 11 764 12 017 9 865 Finnish and Swedish books Non-fiction 1 972 4 276 6 352 6 619 5 904 4 283 Fiction 309 453 758 863 1 705 1 716 Translations Into Finnish 822 959 1 562 2 106 2 432 1 789 Into Swedish 27 56 111 88 112 71 1) Books printed in Finland, excl. pamphlets Circulation of the biggest daily newspapers 1) 2000 2010 2015 2016 Helsingin Sanomat, Helsinki 446 972 383 361 267 094 252 058 Aamulehti, Tampere 133 779 131 539 100 231 98 408 Turun Sanomat, Turku 114 086 107 199 84 462 77 598 Kaleva, Oulu 82 842 78 216 60 008 55 600 Keskisuomalainen, Jyväskylä 76 745 68 880 52 672 49 042 Savon Sanomat, Kuopio 67 185 61 546 50 099 47 097 Etelä-Suomen Sanomat, Lahti 62 218 58 400 46 594 43 655 In Swedish: Hufvudstadsbladet, Helsinki 53 605 48 046 30 735 26 837 1) Printed newspapers with valid checked circulation Cinemas, museums and theatres 2000 2010 2014 2015 Cinema halls 343 289 294 311 Seats, 1 000 60 50 51 48 Premieres 176 186 197 202 Visits per inhabitant 1.37 1.41 1.33 1.59 Museums 1) 155 158 152 150 Exhibitions 1 289 1 134 1 146 1 089 Admissions, 1 000 4 881 4 869 5 445 5 605 Theatres 2) 60 59 59 59 Performances 13 837 12 833 12 639 12 511 Tickets sold, 1 000 2 647 2 590 2 252 2 364 1) Museums with full-time personnel, excl.
Load more

Recommended publications
  • Climate Change-Related Statistics and Indicators (SEEA) - Roadmaps & Success Stories in Finland
    9/29/2017 UNECE: Climate change-related statistics and indicators (SEEA) - Roadmaps & success stories in Finland UNECE Expert Forum on climate change-related statistics 3 - 5 October 2017, FAO, Rome Director of statistics, Johanna Laiho-Kauranne Head of research, Statistics Arto Latukka Senior specialist, Erja Mikkola Natural Resouces Institute Finland (Luke) ©© NaturalNatural ResourcesResources InstituteInstitute FinlandFinland Luke works to advance the bioeconomy and the sustainable use of natural resources New biobased Regional vitality by Healthier products and circular economy food profitably business opportunities Productivity by Well-being from Evidence base for digitalization immaterial values decision making Research through thematic programmes BioSociety: Regulatory and policy framework Statutory services: as well as socio-economical impacts Policy support in bioeconomy based on Boreal Green Innovative Food Blue Bioeconomy: monitoring and inventory Bioeconomy: System: Water resources data, official statistics Innovative value- Value added and as production and and analysis and special chains and concepts consumer driven service platform for sectoral services such from boreal forests sustainable food sustainable growth as conservation of and fields. chain concepts for and well-being. genetic resources. Northern Europe. PeopleIhmiset – Competence – Osaaminen – Collaboration – Yhteistyö – – Infrastruktuuri Infrastructure – – Alustat Platforms © Natural Resources Institute Finland 1 9/29/2017 Development of existing Climate Change
    [Show full text]
  • List of Participants
    List of participants Conference of European Statisticians 69th Plenary Session, hybrid Wednesday, June 23 – Friday 25 June 2021 Registered participants Governments Albania Ms. Elsa DHULI Director General Institute of Statistics Ms. Vjollca SIMONI Head of International Cooperation and European Integration Sector Institute of Statistics Albania Argentina Sr. Joaquin MARCONI Advisor in International Relations, INDEC Mr. Nicolás PETRESKY International Relations Coordinator National Institute of Statistics and Censuses (INDEC) Elena HASAPOV ARAGONÉS National Institute of Statistics and Censuses (INDEC) Armenia Mr. Stepan MNATSAKANYAN President Statistical Committee of the Republic of Armenia Ms. Anahit SAFYAN Member of the State Council on Statistics Statistical Committee of RA Australia Mr. David GRUEN Australian Statistician Australian Bureau of Statistics 1 Ms. Teresa DICKINSON Deputy Australian Statistician Australian Bureau of Statistics Ms. Helen WILSON Deputy Australian Statistician Australian Bureau of Statistics Austria Mr. Tobias THOMAS Director General Statistics Austria Ms. Brigitte GRANDITS Head International Relation Statistics Austria Azerbaijan Mr. Farhad ALIYEV Deputy Head of Department State Statistical Committee Mr. Yusif YUSIFOV Deputy Chairman The State Statistical Committee Belarus Ms. Inna MEDVEDEVA Chairperson National Statistical Committee of the Republic of Belarus Ms. Irina MAZAISKAYA Head of International Cooperation and Statistical Information Dissemination Department National Statistical Committee of the Republic of Belarus Ms. Elena KUKHAREVICH First Deputy Chairperson National Statistical Committee of the Republic of Belarus Belgium Mr. Roeland BEERTEN Flanders Statistics Authority Mr. Olivier GODDEERIS Head of international Strategy and coordination Statistics Belgium 2 Bosnia and Herzegovina Ms. Vesna ĆUŽIĆ Director Agency for Statistics Brazil Mr. Eduardo RIOS NETO President Instituto Brasileiro de Geografia e Estatística - IBGE Sra.
    [Show full text]
  • Assessment of the Additional Appropriation for Research
    Aatto Prihti Luke Georghiou Elisabeth Helander Jyrki Juusela Frieder Meyer-Krahmer Bertil Roslin Tuire Santamäki-Vuori Mirja Gröhn Assessment of the additional appropriation for research Sitra Reports series 2 2 ASSESSMENT OF THE ADDITIONAL APPROPRIATION FOR RESEARCH Copyright: the authors and Sitra Graphic design: Leena Seppänen ISBN 951-563-372-9 (print) ISSN 1457-571X (print) ISBN 951-563-373-7 (URL: http://www.sitra.fi) ISSN 1457-5728 (URL: http://www.sitra.fi) The Sitra Reports series consists of research publications, reports and evaluation studies especially for the use of experts. To order copies of publications in the Sitra Reports series, please contact Sitra at tel. +358 9 618 991 or e-mail [email protected]. Printing house: Hakapaino Oy Helsinki 2000 CONTENTS 3 SUMMARY 5 Results of the evaluation 5 Future priorities 7 FOREWORD 9 1. EVALUATION EFFORT 11 2. ADDITIONAL APPROPRIATION PROGRAMME 15 Objectives 15 Use of funds 17 Distinctive features of projects set up using the additional appropriations 23 Assessment of intention of appropriation against actual allocation 24 3. EVIDENCE OF IMPACTS 25 Basic research 25 Cooperation networks and cluster programmes 31 Productivity and employment 37 Modernisation and regional development 41 Tekes 46 4. POLICY OPTIONS FOR THE FUTURE 47 Continue setting ambitious aims for research funding 49 Strengthen the conditions for basic research 50 Improve the cluster approach 51 Integrate the new and the old economies 51 Focus more on innovation 52 Develop the future competencies of the workforce 53
    [Show full text]
  • Mortality Among Forensic Psychiatric Patients in Finland
    See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/262111437 Mortality among forensic psychiatric patients in Finland Article in Nordic Journal of Psychiatry · May 2014 DOI: 10.3109/08039488.2014.908949 · Source: PubMed CITATIONS READS 8 82 3 authors, including: Hanna Putkonen Jari Tiihonen Helsinki University Central Hospital Karolinska Institutet 88 PUBLICATIONS 1,993 CITATIONS 632 PUBLICATIONS 21,419 CITATIONS SEE PROFILE SEE PROFILE Some of the authors of this publication are also working on these related projects: Neural correlates of antisocial behavior and comorbid disorders in women who consulted for substance misuse as adolescents View project Research accomplished at IOP, KCL (Prof: Sheilagh) View project All content following this page was uploaded by Jari Tiihonen on 07 July 2015. The user has requested enhancement of the downloaded file. Mortality among forensic psychiatric patients in Finland ILKKA OJANSUU , HANNA PUTKONEN , JARI TIIHONEN Ojansuu I, Putkonen H, Tiihonen J. Mortality among forensic psychiatric patients in Finland. Nord J Psychiatry 2015;69:25 – 27. Background: Both mental illness and criminality are associated with higher risk of early death, yet the mortality among forensic psychiatric patients who are affected by both mental illness and criminal behaviour has scarcely been studied. Aims: To analyse the mortality among all patients who were committed to a compulsory forensic psychiatric hospital treatment in Finland between 1980 and 2009. Mortality was analysed according to the age when the patient was committed to forensic treatment. Results: A total of 1253 patients were included, of which 153 were females and 1100 were males. The mean follow-up time in this study was 15.1 years, and 351 (28%) had died during the follow-up period.
    [Show full text]
  • FI – Finland Statistics Finland Publishes a Nationwide House Price
    FI – Finland Statistics Finland publishes a nationwide house price index for existing, single-family dwellings. Price data is collected from asset transfer statements that are compiled by the National Board of Taxes. The data that is first published for a given quarter is preliminary and represents approximately two thirds of the total transactions for that period, though coverage varies by area. This data is revised with the publication of the following quarter. Prices are expressed on a per- square meter basis and quoted in euros. Data prior to 1999 has been converted to Euros using the irrevocable exchange rate of 5.94573 Finnish markka per euro. A dwelling refers to a room or suite of rooms that is equipped with a kitchen, kitchenette or cooking area and is intended for year-round habitation. An existing dwelling refers to a dwelling that has been completed prior to one year before the examined year. A price index on new dwellings did not become available until 2005. Statistics Finland combines hedonic and mix-adjusted methods. The mix-adjustment method cannot control for all changes in the quality of dwellings sold. Quality adjustments are achieved by grouping dwellings by similar characteristics, but adding groups causes the number of observations to decline. Hedonic regressions can be used with a broad based grouping of dwellings to control for the varying dwelling characteristics that remain. Dwellings are first grouped by type, number of rooms and location, as these characteristics are thought to be the biggest determinants of price. A hedonic regression is then used to estimate the price index of each group, with the base period of 1985 used as a reference for dwelling characteristics.
    [Show full text]
  • Guide to Foreign Statistical Abstracts
    Guide to Foreign Statistical Abstracts This bibliography presents recent statistical abstracts for member nations of the Organi- zation for Economic Cooperation and Development and Russia. All sources contain statistical tables on a variety of subjects for the individual countries. Many of the following publications provide text in English as well as in the national language(s). For further information on these publications, contact the named statistical agency which is responsible for editing the publication. Australia France Australian Bureau of Statistics, Canberra. Institut National de la Statistique et des <http://www.abs.gov.au>. Etudes Economiques, Paris 18, Bld. Year Book Australia. Annual. 2007. Adolphe Pinard, 75675 Paris (Cedex 14). With CD-ROM. (In English.) <http://www.insee.fr/fr/home/home _page.asp>. Austria Annuaire Statistique de la France. Statistik Austria, 1110 Wien. Annual. 2003. (In French.) 2005. <http://www.statistik.at/index.shtml>. CD-ROM only. Statistisches Jahrbuch Osterreichs. Annual. 2008. With CD-ROM. Germany (In German.) With English translations of Statistische Bundesamt, D-65180 table headings. Wiesbaden. <http://www.destatis.de>. Statistisches Jahrbuch fur die Bundesre- Belgium public Deutschland. Annual. 2006. Institut National de Statistique, Rue de (In German.) Louvain; 44-1000 Bruxelles. Statistisches Jahrbuch fur das Ausland. <http://statbel.fgov.be/info/links_en.asp>. 2005. Statistisches Jahrbuch 2006 Fur Annuaire statistique de la Belgique. die Bundesreublik Deutschland und fur Annual. 1995. (In French.) das Ausland CDROM. Canada Greece Statistics Canada, Ottawa, Ontario, KIA National Statistical Service of Greece, OT6. <http://www.statcan.ca/start.html>. Athens. <http:// www.statistics.gr/>. Canada Yearbook: A review of economic, Concise Statistical Yearbook 2006.
    [Show full text]
  • Organisation of Environmental Accounting in Finland
    Organisation of environmental statistics and accounting in Finland Co-operation and data flows between the National Statistical Office and the Ministry of the Environment in Finland Activity A.12: Methodology on environmental accounting with emphasis on air and waste accounts 9-12 December 2013 Jukka Muukkonen Statistical systems, United Nation framework Social Statistics Environment statistics (FDES) Environmental-economic accounting (SEEA) Economic statistics 2 Components of the FDES by the United Nations Environmental Conditions and Quality Environmental Resources and their Use Emissions, Residuals and Waste Disasters and Extreme Events Human Habitat and Environmental Health Environment Protection, Management and Engagement 3 Framework for the Development of Environment Statistics (FDES) 2013 Table 2.2: Components and Sub-components of the FDES 1: Environmental Conditions and Quality 4: Extreme Events and Disasters 1.1: Physical Conditions 4.1: Natural Extreme Events and Disasters 1.2: Land Cover, Ecosystems and Biodiversity 4.2: Technological Disasters 1.3: Environmental Quality 5: Human Settlements and Environmental Health 2: Environmental Resources and their Use 5.1: Human Settlements 2.1: Non-energy Mineral Resources 5.2: Environmental Health 2.2: Energy Resources 6: Environment Protection, Management and Engagement 2.3: Land 6.1: Environment Protection and Resource Management Expenditure 2.4: Soil Resources 6.2: Environmental Governance and Regulation 2.5: Biological Resources 6.3: Extreme Event Preparedness and Disaster Management 2.6: Water Resources 6.4: Environmental Information and Awareness 3: Residuals 3.1: Emissions to Air 3.2: Generation and Management of Wastewater 3.3: Generation and Management of Waste 4 DPSIR-chain by the OECD Driving force (D) – e.g.
    [Show full text]
  • Finland in Figures 2020
    “ FOLLOW US – NEWS NOTIFICATIONS, SOCIAL MEDIA” STATISTICS FINLAND − Compiles statistics concerning social conditions – Supports decision-making based on facts – Produces reliable and up-to-date information – Promotes the use of statistical data GUIDANCE AND INFORMATION SERVICE +358 29 551 2220 [email protected] www.stat.fi facebook.com/Tilastotohtori twitter.com/tilastokeskus instagram.com/tilastokeskus FINLAND IN FIGURES 2020 ISSN 2242−8496 (pdf) ISBN 978−952−244−655−8 (pdf) ISSN 0357−0371 (print) ISBN 978−952−244−654−1 (print) 9 789522 446541 Product number 3056 (print) Contents Population ........................................ 2 Population structure . 3 Births, deaths and migration . 5 Families . 12 Education . 14 Employment and unemployment . 15 Employees . 18 Pension recipients . 21 Consumption . 23 Economy ........................................ 25 National accounts . 26 Taxation . 28 Prices . 30 Households . 33 Housing and rents . 35 Construction . 38 Enterprises . 39 Industry . 40 Trade . 42 Tourism . 44 Society and environment ........................... 45 Geographical data . 46 Forests, livestock and crops . 48 Energy, emissions and waste . 49 Transport . 51 Offences . 52 Social protection . 53 Culture . 54 Elections . 55 Symbols * preliminary data . category not applicable - magnitude nil . data not available or too uncertain for presentation, or subject to secrecy To the reader Finland in Figures 2020 is about us – you and me . As individuals we are not visible, together we form these statistics . Every Finn, school, work place, enterprise, home, cottage and municipality is included . The journey from data to statistics goes either through registers or interviews conducted . For our interviews we select a representative group of Finns by random selection . You could also be selected for a survey . Statistics are made together! Do you know how many children were born or how many moved from Finland in 2019? And how many pensioners were there in Finland last year? The answers to these and many other questions can be found in this pocket booklet .
    [Show full text]
  • Module 05: Case Study Evaluation of Innovation System in Finland
    Introduction to Innovation Policy for Developing Countries Module 05: Case Study Evaluation of Innovation System in Finland World Bank Institute Presentation Script Introduction to Innovation Policy for Developing Countries Module 05: Case Study: Evaluation of Innovation System in Finland Presentation Script Evaluation in Finland We now look at Finland, which has a strong tradition of M&E. As a strong economy with an advanced M&E system that is continuously used to update policies and programs, the Finnish experience suggests that there is some correlation between evaluation and economic performance. The M&E system has also proven itself capable of keeping up with changing conceptions of what innovation policy is and what it can accomplish over the decades. Evaluation in Finland – History It is worth noting that the impulse to M&E in Finland was prompted by the recession of the early 1970s; however, although the initial focus was on the accountability of public spending, evaluation over time became much more of a learning tool. Evaluation was introduced by the Academy of Finland, which is a system of research councils. Inspiration was taken from the practices of the Swedish Natural Science Research Council, although it went further by evaluating whole areas of research regardless of whether or not they were funded by the Academy. Introduction to Innovation Policy for Developing Countries Module 05: Case Study: Evaluation of Innovation System in Finland Presentation Script TEKES, the national agency for technology development in Finland, undertook its first evaluation in 1988, following a request by the State Audit Office to audit TEKES’ activities.
    [Show full text]
  • A Case Study of Finland
    GENDER DATA IMPACT CASE STUDY | NOVEMBER 2019 Using Data to Address the Unpaid Work Burden: A Case Study of Finland Executive Summary indicators that reflect the daily reality in order to design effective social policies in areas like childcare, Finland is a global leader in promoting the parental leave, and workplace conditions. Failing to equal sharing of unpaid work. For the past measure the contribution of unpaid work discounts thirty years, researchers and policymakers in women’s role in the economy and society, and can Finland have been using data from Time Use lead to policies that discriminate against women, Surveys (TUS) to understand the gendered making it difficult for them to participate equally division of unpaid work, and to develop a wide in society. The invisibility of unpaid work also range of family policies aimed at reducing underestimates a country’s wealth production. inequalities in women’s economic and social Finland has long been committed to social and participation, including supporting parental gender equality. Beginning in 1979 and repeated leave and childcare; valuing domestic approximately every ten years, Statistics Finland has services; and promoting rural women’s measured how people spend their time throughout employment. TUS data has been a key source the country. When it became apparent that there of evidence for advocates, researchers, and were disparities between how men and women were policymakers in shaping and evaluating the using their time for domestic work, policymakers and impact of these family policies. researchers began developing policies and programs Statistics Finland has shown that involving to balance the load.
    [Show full text]
  • Finland, the Observatoryisapartnership,Hostedbywho/Europe, Organizations International Whichincludesother
    V ol. 21 Health Systems in Transition Vol. 21 No. 2 2019 No. 2 0 1 9 Heal t h S y s te m s in T r an s ition: Finland Finland Health system review Ilmo Keskimäki Vesa Syrjä Liina-Kaisa Tynkkynen Lauri Vuorenkoski Eeva Reissell Bernd Rechel Meri Koivusalo Marina Karanikolos The Observatory is a partnership, hosted by WHO/Europe, which includes other international organizations (the European Commission, the World Bank); national and regional governments (Austria, Belgium, Finland, Ireland, Norway, Slovenia, Spain, Sweden, Switzerland, the United Kingdom and the Veneto Region of Italy); other health system organizations (the French National Union of Health Insurance Funds (UNCAM), the Health Foundation); and academia (the London School of Economics and Political Science (LSE) and the London School of Hygiene & Tropical Medicine (LSHTM)). The Observatory has a secretariat in Brussels and it has hubs in London at LSE and LSHTM) and at the Berlin University of Technology. HiTs are in-depth profiles of health systems and policies, produced using a standardized approach that allows comparison across countries. They provide facts, figures and analysis and highlight reform initiatives in progress. Print ISSN 1817-6119 Web ISSN 1817-6127 61546 Finland HiT_covers_WEB.pdf 2 02/09/2019 14:15 Marina Karanikolos and Bernd Rechel (Editors), and Ewout van Ginneken (Series editor) were responsible for this HiT Editorial Board Series editors Reinhard Busse, Berlin University of Technology, Germany Josep Figueras, European Observatory on Health Systems and
    [Show full text]
  • Temperature-Related Mortality in Helsinki Compared to Its Surrounding Region Over Two Decades, with Special Emphasis on Intensive Heatwaves
    atmosphere Article Temperature-Related Mortality in Helsinki Compared to Its Surrounding Region Over Two Decades, with Special Emphasis on Intensive Heatwaves Reija Ruuhela 1,*, Athanasios Votsis 1, Jaakko Kukkonen 2, Kirsti Jylhä 1 , Susanna Kankaanpää 3 and Adriaan Perrels 1 1 Weather and Climate Change Impact Research, Finnish Meteorological Institute, FI-00560 Helsinki, Finland; athanasios.votsis@fmi.fi (A.V.); kirsti.jylha@fmi.fi (K.J.); adriaan.perrels@fmi.fi (A.P.) 2 Atmospheric Composition Research, Finnish Meteorological Institute, FI-00560 Helsinki, Finland; jaakko.kukkonen@fmi.fi 3 Finland Adaptation to Climate Change, City of Helsinki, 00100 Helsinki, Finland; susanna.kankaanpaa@hel.fi * Correspondence: reija.ruuhela@fmi.fi; Tel.: +358-500-424533 Abstract: Urbanization and ongoing climate change increase the exposure of the populations to heat stress, and the urban heat island (UHI) effect may magnify heat-related mortality, especially during heatwaves. We studied temperature-related mortality in the city of Helsinki—with urban and suburban land uses—and in the surrounding Helsinki-Uusimaa hospital district (HUS-H, excluding Helsinki)—with more rural types of land uses—in southern Finland for two decades, 2000–2018. Dependence of the risk of daily all-cause deaths (all-age and 75+ years) on daily mean temperature was modelled using the distributed lag nonlinear model (DLNM). The modelled relationships were applied in assessing deaths attributable to four intensive heatwaves during the study period. The results showed that the heat-related mortality risk was substantially higher in Helsinki than in HUS- H, and the mortality rates attributable to four intensive heatwaves (2003, 2010, 2014 and 2018) were Citation: Ruuhela, R.; Votsis, A.; about 2.5 times higher in Helsinki than in HUS-H.
    [Show full text]